aiqbench takeQuantum Computing

Researchers have developed SCENT, a new protocol using tree tensor networks that drastically reduces the computational resources needed to prepare complex 200-qubit quantum states. By optimizing entanglement structures, this method achieves high fidelity with significantly fewer gates than previous linear-chain approaches, offering practical advantages for near-term applications in finance and chemistry.

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Researchers Achieve 7.44e-9 Fidelity for 200-Qubit States

Quantum ZeitgeistSeptember 10, 20263 min read

A complex probability distribution requiring over forty thousand quantum operations could previously demand immense computational resources. Now, utilising optimised tensor networks, that same calculation is achievable with just five and a half thousand controlled-not gates, a dramatic reduction in complexity. This advance unlocks more efficient encoding of data into quantum states for applications spanning finance to chemistry.

Preparing complex quantum states with many interacting variables presented a key challenge until now; existing methods like matrix product states struggled as the number of variables increased. SCENT, Spectral Clustering for Entanglement minimising Trees, is a new protocol that determines optimal structures for tree tensor networks. An improved method has been created for preparing quantum states requiring fewer…

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