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Fast quantum algorithm for numerical gradient estimation

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abstract

Given a blackbox for f, a smooth real scalar function of d real variables, one wants to estimate the gradient of f at a given point with n bits of precision. On a classical computer this requires a minimum of d+1 blackbox queries, whereas on a quantum computer it requires only one query regardless of d. The number of bits of precision to which f must be evaluated matches the classical requirement in the limit of large n.

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quant-ph 1

years

2026 1

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UNVERDICTED 1

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Provable Quantum Advantage for Dynamical Phase Transition

quant-ph · 2026-06-29 · unverdicted · novelty 5.0

Proves intractability of DQPT estimation on quantum computers but equivalence of subsystem DQPT decision to quantum circuit simulation, with quadratic speedup for critical time search.

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  • Provable Quantum Advantage for Dynamical Phase Transition quant-ph · 2026-06-29 · unverdicted · none · ref 62 · internal anchor

    Proves intractability of DQPT estimation on quantum computers but equivalence of subsystem DQPT decision to quantum circuit simulation, with quadratic speedup for critical time search.