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Qubit-Efficient Quantum Algorithm for Linear Differential Equations

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arxiv 2507.16995 v1 pith:OJJNPHVO submitted 2025-07-22 quant-ph cs.NAmath.NA

Qubit-Efficient Quantum Algorithm for Linear Differential Equations

classification quant-ph cs.NAmath.NA
keywords algorithmquantumonlydifferentialequationslinearlocalmodel
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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abstract

As quantum hardware rapidly advances toward the early fault-tolerant era, a key challenge is to develop quantum algorithms that are not only theoretically sound but also hardware-friendly on near-term devices. In this work, we propose a quantum algorithm for solving linear ordinary differential equations (ODEs) with a provable runtime guarantee. Our algorithm uses only a single ancilla qubit, and is locality preserving, i.e., when the coefficient matrix of the ODE is $k$-local, the algorithm only needs to implement the time evolution of $(k+1)$-local Hamiltonians. We also discuss the connection between our proposed algorithm and Lindbladian simulation as well as its application to the interacting Hatano-Nelson model, a widely studied non-Hermitian model with rich phenomenology.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Circuit Depth Reduction of One-Ancilla Quantum Differential Equation Solver via Extrapolation

    quant-ph 2026-07 accept novelty 7.0

    Classical step-size extrapolation reduces the maximum single-run circuit depth of a one-ancilla quantum ODE solver from O(1/ε) to O(polylog(1/ε)) without adding ancillae.

  2. Quantum Differential Equation Solvers with Low State Preparation Cost: Eliminating the Time Dependence in Dissipative Equations

    quant-ph 2025-08 conditional novelty 7.0

    For strictly dissipative linear ODEs, quantum solvers based on time-marching or LCHS achieve query complexity O(polylog(1/ε)) that is independent of the evolution time T.

  3. Circuit-Efficient Randomized Quantum Simulation of Non-Unitary Dynamics with Observable-Driven and Symmetry-Aware Designs

    quant-ph 2025-09 reject novelty 5.0

    A randomized compilation of LCHS for non-unitary dynamics, with an observable-driven variant and a symmetry-aware sampler, claims reduced ancilla and circuit depth at the cost of more repetitions.