TensorCircuit-NG: Quantum Software On AI, For AI, With AI
TensorCircuit-NG is a new quantum software stack designed to integrate with artificial intelligence frameworks. It aims to leverage existing AI infrastructure to enhance quantum computing capabilities and streamline workflows. By treating quantum circuits as specialized tensor operations, it allows for improved performance and collaboration between quantum and AI systems.
- ▪TensorCircuit-NG seeks to bridge the gap between quantum computing and AI by utilizing existing AI tools and frameworks.
- ▪The framework treats quantum circuits as tensor operations, enabling better integration with AI toolchains.
- ▪Benchmarks indicate that TensorCircuit-NG can achieve significant performance improvements over traditional quantum software stacks.
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| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/refractionray/tensorcircuit-ng-quantum-software-on-ai-for-ai-with-ai-3mae |
| Publication time | Wed, 27 May 2026 11:02:16 +0000 |
| Retrieval time | 2026-05-27T11:07:58.868Z |
| Last seen | 2026-05-27T11:07:58.868Z |
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Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3763205) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Shixin Zhang Posted on May 27 TensorCircuit-NG: Quantum Software On AI, For AI, With AI #ai #quantum Quantum computing and artificial intelligence are often discussed as two separate frontiers. One is about exploiting quantum mechanics for computation; the other is about building increasingly capable learning systems and agents. The core argument behind TensorCircuit-NG is that this separation is becoming less and less meaningful.
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