Develops a quantum algorithm for linear matrix differential equations with query complexity O~(ν L t / ε) that is nearly optimal and yields polynomial to exponential speedups for open quantum system simulation.
\ Berry , author Andrew M
3 Pith papers cite this work. Polarity classification is still indexing.
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quant-ph 3years
2026 3roles
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Quantum algorithm simulates RLC circuit dynamics in polylog(N) time and proves energy estimation is BQP-hard via reduction from harmonic oscillator networks.
Quantum algorithms achieve polylog(N) complexity for high-dimensional linear SDEs by amplitude-encoding the solution and noise via Dyson series or Euler-Maruyama approximations plus quantum linear systems solvers.
citing papers explorer
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Efficient quantum algorithm for linear matrix differential equations and applications to open quantum systems
Develops a quantum algorithm for linear matrix differential equations with query complexity O~(ν L t / ε) that is nearly optimal and yields polynomial to exponential speedups for open quantum system simulation.
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Simulating dynamics of RLC circuits with a quantum differential-algebraic equations solver
Quantum algorithm simulates RLC circuit dynamics in polylog(N) time and proves energy estimation is BQP-hard via reduction from harmonic oscillator networks.
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Quantum algorithm for solving high-dimensional linear stochastic differential equations via amplitude encoding of the noise term
Quantum algorithms achieve polylog(N) complexity for high-dimensional linear SDEs by amplitude-encoding the solution and noise via Dyson series or Euler-Maruyama approximations plus quantum linear systems solvers.