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Scientific software engineer with experience in quantum computing, cryptography, and numerical simulation. Interested in scalable scientific computing, high-performance systems, and distributed infrastructure.

PythonJuliaBashCI/CDHPCpytestLinux


Scientific Computing & Numerical Simulation

Python toolkit for noise-resilient classification. Focuses on interactive tensor-network simulation, automated testing, and spin-network encodings.

  • Focus: Tensor-network simulation, numerical optimization, automated testing

Numerical simulation engine for solving non-linear Hamilton-Jacobi partial differential equations. Utilizes optimized Crank-Nicolson algorithms to generate predictive trajectories with adaptive time-stepping.

  • Focus: Numerical methods, PDE solvers, computational physics

Automated data analysis pipeline leveraging wavelet decomposition and matched-filter detection. Designed to extract target waveforms from simulated 21cm primordial noise.

  • Focus: Signal extraction, automated data pipelines, statistical analysis

Cryptography & Distributed Systems

Toolkit for large-scale LDPC decoding experiments featuring belief-propagation algorithms, Tanner graph and surface code visualization, and Qiskit integration.

  • Focus: Fault-tolerant pipelines, algorithmic complexity, data structure visualization

Modular framework for post-quantum blockchain consensus relying on topologically protected cryptographic proofs. Built for network resilience and verification logic under adversarial conditions.

  • Focus: Consensus protocols, cryptography, network resilience

Protocol design exploring the integration of Quantum Key Distribution and smart contract validation. Settles cryptographically secure outputs on-chain.

  • Focus: Cryptographic protocols, verifiable randomness, distributed architecture

orange

Pinned Loading

  1. btq-ag/QLDPCbtq-ag/QLDPCPublic

    Interactive Python toolkit for quantum LDPC error correction: circuit builder, real-time belief propagation simulation, surface code and Tanner graph visualization, with Qiskit integration.

    Python 2 2

  2. btq-ag/QRiNGbtq-ag/QRiNGPublic

    A hybrid quantum-blockchain protocol for verifiable quantum random number generation (QRNG) leveraging Quantum Key Distribution and smart contract validation.

    Python 2 1

  3. Topological-Quantum-Neural-NetworksTopological-Quantum-Neural-NetworksPublic

    Python toolkit for noise-resilient classification. Focuses on interactive tensor-network simulation, automated testing, and spin-network encodings.

    Python 3 1

  4. Quantum-TrajectoriesQuantum-TrajectoriesPublic

    Numerical solver for non-linear Hamilton-Jacobi PDEs. Implements Crank-Nicolson methods to generate adaptive trajectory simulations.

    Python 4 2

  5. Cosmic-String-SignalsCosmic-String-SignalsPublic

    Data analysis pipeline utilizing wavelet decomposition and matched-filter detection to extract target waveforms from simulated 21cm primordial noise.

    Python 3 2

  6. Bloc-FantomeBloc-FantomePublic

    Isometric voxel sandbox built in Python/Pygame. Focuses on lean memory management, local state rendering, and optimized chunk generation algorithms.

    Python 4

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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Scientific software engineer with experience in quantum computing, cryptography, and numerical simulation. Interested in scalable scientific computing, high-performance systems, and distributed infrastructure.

PythonJuliaBashCI/CDHPCpytestLinux


Scientific Computing & Numerical Simulation

Python toolkit for noise-resilient classification. Focuses on interactive tensor-network simulation, automated testing, and spin-network encodings.

  • Focus: Tensor-network simulation, numerical optimization, automated testing

Numerical simulation engine for solving non-linear Hamilton-Jacobi partial differential equations. Utilizes optimized Crank-Nicolson algorithms to generate predictive trajectories with adaptive time-stepping.

  • Focus: Numerical methods, PDE solvers, computational physics

Automated data analysis pipeline leveraging wavelet decomposition and matched-filter detection. Designed to extract target waveforms from simulated 21cm primordial noise.

  • Focus: Signal extraction, automated data pipelines, statistical analysis

Cryptography & Distributed Systems

Toolkit for large-scale LDPC decoding experiments featuring belief-propagation algorithms, Tanner graph and surface code visualization, and Qiskit integration.

  • Focus: Fault-tolerant pipelines, algorithmic complexity, data structure visualization

Modular framework for post-quantum blockchain consensus relying on topologically protected cryptographic proofs. Built for network resilience and verification logic under adversarial conditions.

  • Focus: Consensus protocols, cryptography, network resilience

Protocol design exploring the integration of Quantum Key Distribution and smart contract validation. Settles cryptographically secure outputs on-chain.

  • Focus: Cryptographic protocols, verifiable randomness, distributed architecture

orange

Pinned Loading

  1. btq-ag/QLDPCbtq-ag/QLDPCPublic

    Interactive Python toolkit for quantum LDPC error correction: circuit builder, real-time belief propagation simulation, surface code and Tanner graph visualization, with Qiskit integration.

    Python 2 2

  2. btq-ag/QRiNGbtq-ag/QRiNGPublic

    A hybrid quantum-blockchain protocol for verifiable quantum random number generation (QRNG) leveraging Quantum Key Distribution and smart contract validation.

    Python 2 1

  3. Topological-Quantum-Neural-NetworksTopological-Quantum-Neural-NetworksPublic

    Python toolkit for noise-resilient classification. Focuses on interactive tensor-network simulation, automated testing, and spin-network encodings.

    Python 3 1

  4. Quantum-TrajectoriesQuantum-TrajectoriesPublic

    Numerical solver for non-linear Hamilton-Jacobi PDEs. Implements Crank-Nicolson methods to generate adaptive trajectory simulations.

    Python 4 2

  5. Cosmic-String-SignalsCosmic-String-SignalsPublic

    Data analysis pipeline utilizing wavelet decomposition and matched-filter detection to extract target waveforms from simulated 21cm primordial noise.

    Python 3 2

  6. Bloc-FantomeBloc-FantomePublic

    Isometric voxel sandbox built in Python/Pygame. Focuses on lean memory management, local state rendering, and optimized chunk generation algorithms.

    Python 4

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

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Report abuse

Scientific software engineer with experience in quantum computing, cryptography, and numerical simulation. Interested in scalable scientific computing, high-performance systems, and distributed infrastructure.

PythonJuliaBashCI/CDHPCpytestLinux


Scientific Computing & Numerical Simulation

Python toolkit for noise-resilient classification. Focuses on interactive tensor-network simulation, automated testing, and spin-network encodings.

  • Focus: Tensor-network simulation, numerical optimization, automated testing

Numerical simulation engine for solving non-linear Hamilton-Jacobi partial differential equations. Utilizes optimized Crank-Nicolson algorithms to generate predictive trajectories with adaptive time-stepping.

  • Focus: Numerical methods, PDE solvers, computational physics

Automated data analysis pipeline leveraging wavelet decomposition and matched-filter detection. Designed to extract target waveforms from simulated 21cm primordial noise.

  • Focus: Signal extraction, automated data pipelines, statistical analysis

Cryptography & Distributed Systems

Toolkit for large-scale LDPC decoding experiments featuring belief-propagation algorithms, Tanner graph and surface code visualization, and Qiskit integration.

  • Focus: Fault-tolerant pipelines, algorithmic complexity, data structure visualization

Modular framework for post-quantum blockchain consensus relying on topologically protected cryptographic proofs. Built for network resilience and verification logic under adversarial conditions.

  • Focus: Consensus protocols, cryptography, network resilience

Protocol design exploring the integration of Quantum Key Distribution and smart contract validation. Settles cryptographically secure outputs on-chain.

  • Focus: Cryptographic protocols, verifiable randomness, distributed architecture

orange

Pinned Loading

  1. btq-ag/QLDPCbtq-ag/QLDPCPublic

    Interactive Python toolkit for quantum LDPC error correction: circuit builder, real-time belief propagation simulation, surface code and Tanner graph visualization, with Qiskit integration.

    Python 2 2

  2. btq-ag/QRiNGbtq-ag/QRiNGPublic

    A hybrid quantum-blockchain protocol for verifiable quantum random number generation (QRNG) leveraging Quantum Key Distribution and smart contract validation.

    Python 2 1

  3. Topological-Quantum-Neural-NetworksTopological-Quantum-Neural-NetworksPublic

    Python toolkit for noise-resilient classification. Focuses on interactive tensor-network simulation, automated testing, and spin-network encodings.

    Python 3 1

  4. Quantum-TrajectoriesQuantum-TrajectoriesPublic

    Numerical solver for non-linear Hamilton-Jacobi PDEs. Implements Crank-Nicolson methods to generate adaptive trajectory simulations.

    Python 4 2

  5. Cosmic-String-SignalsCosmic-String-SignalsPublic

    Data analysis pipeline utilizing wavelet decomposition and matched-filter detection to extract target waveforms from simulated 21cm primordial noise.

    Python 3 2

  6. Bloc-FantomeBloc-FantomePublic

    Isometric voxel sandbox built in Python/Pygame. Focuses on lean memory management, local state rendering, and optimized chunk generation algorithms.

    Python 4

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

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Report abuse

Scientific software engineer with experience in quantum computing, cryptography, and numerical simulation. Interested in scalable scientific computing, high-performance systems, and distributed infrastructure.

PythonJuliaBashCI/CDHPCpytestLinux


Scientific Computing & Numerical Simulation

Python toolkit for noise-resilient classification. Focuses on interactive tensor-network simulation, automated testing, and spin-network encodings.

  • Focus: Tensor-network simulation, numerical optimization, automated testing

Numerical simulation engine for solving non-linear Hamilton-Jacobi partial differential equations. Utilizes optimized Crank-Nicolson algorithms to generate predictive trajectories with adaptive time-stepping.

  • Focus: Numerical methods, PDE solvers, computational physics

Automated data analysis pipeline leveraging wavelet decomposition and matched-filter detection. Designed to extract target waveforms from simulated 21cm primordial noise.

  • Focus: Signal extraction, automated data pipelines, statistical analysis

Cryptography & Distributed Systems

Toolkit for large-scale LDPC decoding experiments featuring belief-propagation algorithms, Tanner graph and surface code visualization, and Qiskit integration.

  • Focus: Fault-tolerant pipelines, algorithmic complexity, data structure visualization

Modular framework for post-quantum blockchain consensus relying on topologically protected cryptographic proofs. Built for network resilience and verification logic under adversarial conditions.

  • Focus: Consensus protocols, cryptography, network resilience

Protocol design exploring the integration of Quantum Key Distribution and smart contract validation. Settles cryptographically secure outputs on-chain.

  • Focus: Cryptographic protocols, verifiable randomness, distributed architecture

orange

Pinned Loading

  1. btq-ag/QLDPCbtq-ag/QLDPCPublic

    Interactive Python toolkit for quantum LDPC error correction: circuit builder, real-time belief propagation simulation, surface code and Tanner graph visualization, with Qiskit integration.

    Python 2 2

  2. btq-ag/QRiNGbtq-ag/QRiNGPublic

    A hybrid quantum-blockchain protocol for verifiable quantum random number generation (QRNG) leveraging Quantum Key Distribution and smart contract validation.

    Python 2 1

  3. Topological-Quantum-Neural-NetworksTopological-Quantum-Neural-NetworksPublic

    Python toolkit for noise-resilient classification. Focuses on interactive tensor-network simulation, automated testing, and spin-network encodings.

    Python 3 1

  4. Quantum-TrajectoriesQuantum-TrajectoriesPublic

    Numerical solver for non-linear Hamilton-Jacobi PDEs. Implements Crank-Nicolson methods to generate adaptive trajectory simulations.

    Python 4 2

  5. Cosmic-String-SignalsCosmic-String-SignalsPublic

    Data analysis pipeline utilizing wavelet decomposition and matched-filter detection to extract target waveforms from simulated 21cm primordial noise.

    Python 3 2

  6. Bloc-FantomeBloc-FantomePublic

    Isometric voxel sandbox built in Python/Pygame. Focuses on lean memory management, local state rendering, and optimized chunk generation algorithms.

    Python 4

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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Block user

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Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

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Report abuse

Scientific software engineer with experience in quantum computing, cryptography, and numerical simulation. Interested in scalable scientific computing, high-performance systems, and distributed infrastructure.

PythonJuliaBashCI/CDHPCpytestLinux


Scientific Computing & Numerical Simulation

Python toolkit for noise-resilient classification. Focuses on interactive tensor-network simulation, automated testing, and spin-network encodings.

  • Focus: Tensor-network simulation, numerical optimization, automated testing

Numerical simulation engine for solving non-linear Hamilton-Jacobi partial differential equations. Utilizes optimized Crank-Nicolson algorithms to generate predictive trajectories with adaptive time-stepping.

  • Focus: Numerical methods, PDE solvers, computational physics

Automated data analysis pipeline leveraging wavelet decomposition and matched-filter detection. Designed to extract target waveforms from simulated 21cm primordial noise.

  • Focus: Signal extraction, automated data pipelines, statistical analysis

Cryptography & Distributed Systems

Toolkit for large-scale LDPC decoding experiments featuring belief-propagation algorithms, Tanner graph and surface code visualization, and Qiskit integration.

  • Focus: Fault-tolerant pipelines, algorithmic complexity, data structure visualization

Modular framework for post-quantum blockchain consensus relying on topologically protected cryptographic proofs. Built for network resilience and verification logic under adversarial conditions.

  • Focus: Consensus protocols, cryptography, network resilience

Protocol design exploring the integration of Quantum Key Distribution and smart contract validation. Settles cryptographically secure outputs on-chain.

  • Focus: Cryptographic protocols, verifiable randomness, distributed architecture

orange

Pinned Loading

  1. btq-ag/QLDPCbtq-ag/QLDPCPublic

    Interactive Python toolkit for quantum LDPC error correction: circuit builder, real-time belief propagation simulation, surface code and Tanner graph visualization, with Qiskit integration.

    Python 2 2

  2. btq-ag/QRiNGbtq-ag/QRiNGPublic

    A hybrid quantum-blockchain protocol for verifiable quantum random number generation (QRNG) leveraging Quantum Key Distribution and smart contract validation.

    Python 2 1

  3. Topological-Quantum-Neural-NetworksTopological-Quantum-Neural-NetworksPublic

    Python toolkit for noise-resilient classification. Focuses on interactive tensor-network simulation, automated testing, and spin-network encodings.

    Python 3 1

  4. Quantum-TrajectoriesQuantum-TrajectoriesPublic

    Numerical solver for non-linear Hamilton-Jacobi PDEs. Implements Crank-Nicolson methods to generate adaptive trajectory simulations.

    Python 4 2

  5. Cosmic-String-SignalsCosmic-String-SignalsPublic

    Data analysis pipeline utilizing wavelet decomposition and matched-filter detection to extract target waveforms from simulated 21cm primordial noise.

    Python 3 2

  6. Bloc-FantomeBloc-FantomePublic

    Isometric voxel sandbox built in Python/Pygame. Focuses on lean memory management, local state rendering, and optimized chunk generation algorithms.

    Python 4

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content
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Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

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Report abuse

Scientific software engineer with experience in quantum computing, cryptography, and numerical simulation. Interested in scalable scientific computing, high-performance systems, and distributed infrastructure.

PythonJuliaBashCI/CDHPCpytestLinux


Scientific Computing & Numerical Simulation

Python toolkit for noise-resilient classification. Focuses on interactive tensor-network simulation, automated testing, and spin-network encodings.

  • Focus: Tensor-network simulation, numerical optimization, automated testing

Numerical simulation engine for solving non-linear Hamilton-Jacobi partial differential equations. Utilizes optimized Crank-Nicolson algorithms to generate predictive trajectories with adaptive time-stepping.

  • Focus: Numerical methods, PDE solvers, computational physics

Automated data analysis pipeline leveraging wavelet decomposition and matched-filter detection. Designed to extract target waveforms from simulated 21cm primordial noise.

  • Focus: Signal extraction, automated data pipelines, statistical analysis

Cryptography & Distributed Systems

Toolkit for large-scale LDPC decoding experiments featuring belief-propagation algorithms, Tanner graph and surface code visualization, and Qiskit integration.

  • Focus: Fault-tolerant pipelines, algorithmic complexity, data structure visualization

Modular framework for post-quantum blockchain consensus relying on topologically protected cryptographic proofs. Built for network resilience and verification logic under adversarial conditions.

  • Focus: Consensus protocols, cryptography, network resilience

Protocol design exploring the integration of Quantum Key Distribution and smart contract validation. Settles cryptographically secure outputs on-chain.

  • Focus: Cryptographic protocols, verifiable randomness, distributed architecture

orange

Pinned Loading

  1. btq-ag/QLDPCbtq-ag/QLDPCPublic

    Interactive Python toolkit for quantum LDPC error correction: circuit builder, real-time belief propagation simulation, surface code and Tanner graph visualization, with Qiskit integration.

    Python 2 2

  2. btq-ag/QRiNGbtq-ag/QRiNGPublic

    A hybrid quantum-blockchain protocol for verifiable quantum random number generation (QRNG) leveraging Quantum Key Distribution and smart contract validation.

    Python 2 1

  3. Topological-Quantum-Neural-NetworksTopological-Quantum-Neural-NetworksPublic

    Python toolkit for noise-resilient classification. Focuses on interactive tensor-network simulation, automated testing, and spin-network encodings.

    Python 3 1

  4. Quantum-TrajectoriesQuantum-TrajectoriesPublic

    Numerical solver for non-linear Hamilton-Jacobi PDEs. Implements Crank-Nicolson methods to generate adaptive trajectory simulations.

    Python 4 2

  5. Cosmic-String-SignalsCosmic-String-SignalsPublic

    Data analysis pipeline utilizing wavelet decomposition and matched-filter detection to extract target waveforms from simulated 21cm primordial noise.

    Python 3 2

  6. Bloc-FantomeBloc-FantomePublic

    Isometric voxel sandbox built in Python/Pygame. Focuses on lean memory management, local state rendering, and optimized chunk generation algorithms.

    Python 4

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content
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Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

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Report abuse

Scientific software engineer with experience in quantum computing, cryptography, and numerical simulation. Interested in scalable scientific computing, high-performance systems, and distributed infrastructure.

PythonJuliaBashCI/CDHPCpytestLinux


Scientific Computing & Numerical Simulation

Python toolkit for noise-resilient classification. Focuses on interactive tensor-network simulation, automated testing, and spin-network encodings.

  • Focus: Tensor-network simulation, numerical optimization, automated testing

Numerical simulation engine for solving non-linear Hamilton-Jacobi partial differential equations. Utilizes optimized Crank-Nicolson algorithms to generate predictive trajectories with adaptive time-stepping.

  • Focus: Numerical methods, PDE solvers, computational physics

Automated data analysis pipeline leveraging wavelet decomposition and matched-filter detection. Designed to extract target waveforms from simulated 21cm primordial noise.

  • Focus: Signal extraction, automated data pipelines, statistical analysis

Cryptography & Distributed Systems

Toolkit for large-scale LDPC decoding experiments featuring belief-propagation algorithms, Tanner graph and surface code visualization, and Qiskit integration.

  • Focus: Fault-tolerant pipelines, algorithmic complexity, data structure visualization

Modular framework for post-quantum blockchain consensus relying on topologically protected cryptographic proofs. Built for network resilience and verification logic under adversarial conditions.

  • Focus: Consensus protocols, cryptography, network resilience

Protocol design exploring the integration of Quantum Key Distribution and smart contract validation. Settles cryptographically secure outputs on-chain.

  • Focus: Cryptographic protocols, verifiable randomness, distributed architecture

orange

Pinned Loading

  1. btq-ag/QLDPCbtq-ag/QLDPCPublic

    Interactive Python toolkit for quantum LDPC error correction: circuit builder, real-time belief propagation simulation, surface code and Tanner graph visualization, with Qiskit integration.

    Python 2 2

  2. btq-ag/QRiNGbtq-ag/QRiNGPublic

    A hybrid quantum-blockchain protocol for verifiable quantum random number generation (QRNG) leveraging Quantum Key Distribution and smart contract validation.

    Python 2 1

  3. Topological-Quantum-Neural-NetworksTopological-Quantum-Neural-NetworksPublic

    Python toolkit for noise-resilient classification. Focuses on interactive tensor-network simulation, automated testing, and spin-network encodings.

    Python 3 1

  4. Quantum-TrajectoriesQuantum-TrajectoriesPublic

    Numerical solver for non-linear Hamilton-Jacobi PDEs. Implements Crank-Nicolson methods to generate adaptive trajectory simulations.

    Python 4 2

  5. Cosmic-String-SignalsCosmic-String-SignalsPublic

    Data analysis pipeline utilizing wavelet decomposition and matched-filter detection to extract target waveforms from simulated 21cm primordial noise.

    Python 3 2

  6. Bloc-FantomeBloc-FantomePublic

    Isometric voxel sandbox built in Python/Pygame. Focuses on lean memory management, local state rendering, and optimized chunk generation algorithms.

    Python 4

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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Scientific software engineer with experience in quantum computing, cryptography, and numerical simulation. Interested in scalable scientific computing, high-performance systems, and distributed infrastructure.

PythonJuliaBashCI/CDHPCpytestLinux


Scientific Computing & Numerical Simulation

Python toolkit for noise-resilient classification. Focuses on interactive tensor-network simulation, automated testing, and spin-network encodings.

  • Focus: Tensor-network simulation, numerical optimization, automated testing

Numerical simulation engine for solving non-linear Hamilton-Jacobi partial differential equations. Utilizes optimized Crank-Nicolson algorithms to generate predictive trajectories with adaptive time-stepping.

  • Focus: Numerical methods, PDE solvers, computational physics

Automated data analysis pipeline leveraging wavelet decomposition and matched-filter detection. Designed to extract target waveforms from simulated 21cm primordial noise.

  • Focus: Signal extraction, automated data pipelines, statistical analysis

Cryptography & Distributed Systems

Toolkit for large-scale LDPC decoding experiments featuring belief-propagation algorithms, Tanner graph and surface code visualization, and Qiskit integration.

  • Focus: Fault-tolerant pipelines, algorithmic complexity, data structure visualization

Modular framework for post-quantum blockchain consensus relying on topologically protected cryptographic proofs. Built for network resilience and verification logic under adversarial conditions.

  • Focus: Consensus protocols, cryptography, network resilience

Protocol design exploring the integration of Quantum Key Distribution and smart contract validation. Settles cryptographically secure outputs on-chain.

  • Focus: Cryptographic protocols, verifiable randomness, distributed architecture

orange

Pinned Loading

  1. btq-ag/QLDPCbtq-ag/QLDPCPublic

    Interactive Python toolkit for quantum LDPC error correction: circuit builder, real-time belief propagation simulation, surface code and Tanner graph visualization, with Qiskit integration.

    Python 2 2

  2. btq-ag/QRiNGbtq-ag/QRiNGPublic

    A hybrid quantum-blockchain protocol for verifiable quantum random number generation (QRNG) leveraging Quantum Key Distribution and smart contract validation.

    Python 2 1

  3. Topological-Quantum-Neural-NetworksTopological-Quantum-Neural-NetworksPublic

    Python toolkit for noise-resilient classification. Focuses on interactive tensor-network simulation, automated testing, and spin-network encodings.

    Python 3 1

  4. Quantum-TrajectoriesQuantum-TrajectoriesPublic

    Numerical solver for non-linear Hamilton-Jacobi PDEs. Implements Crank-Nicolson methods to generate adaptive trajectory simulations.

    Python 4 2

  5. Cosmic-String-SignalsCosmic-String-SignalsPublic

    Data analysis pipeline utilizing wavelet decomposition and matched-filter detection to extract target waveforms from simulated 21cm primordial noise.

    Python 3 2

  6. Bloc-FantomeBloc-FantomePublic

    Isometric voxel sandbox built in Python/Pygame. Focuses on lean memory management, local state rendering, and optimized chunk generation algorithms.

    Python 4