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Exact and efficient Lanczos method on a quantum computer

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arxiv 2208.00567 v4 pith:D443NRSM submitted 2022-08-01 quant-ph

Exact and efficient Lanczos method on a quantum computer

classification quant-ph
keywords methodquantumkrylovlanczosalgorithmexactstatecomputer
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We present an algorithm that uses block encoding on a quantum computer to exactly construct a Krylov space, which can be used as the basis for the Lanczos method to estimate extremal eigenvalues of Hamiltonians. While the classical Lanczos method has exponential cost in the system size to represent the Krylov states for quantum systems, our efficient quantum algorithm achieves this in polynomial time and memory. The construction presented is exact in the sense that the resulting Krylov space is identical to that of the Lanczos method, so the only approximation with respect to the exact method is due to finite sample noise. This is possible because, unlike previous quantum Krylov methods, our algorithm does not require simulating real or imaginary time evolution. We provide an explicit error bound for the resulting ground state energy estimate in the presence of noise. For our method to be successful efficiently, the only requirement on the input problem is that the overlap of the initial state with the true ground state must be $\Omega(1/\text{poly}(n))$ for $n$ qubits.

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Cited by 6 Pith papers

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

  1. Constrained Optimal Polynomials for Quantum Linear System Solvers

    math.NA 2026-04 unverdicted novelty 7.0

    Constrained Uniform Polynomial (CUP) and Constrained Adaptive Polynomial (CAP) solvers achieve lower error than standard QSVT and Chebyshev methods in noise-limited regimes by optimizing accuracy versus block-encoding...

  2. Nonisothermal global-pressure exactness in fractured multiphase flow with aperture feedback

    physics.flu-dyn 2026-04 unverdicted novelty 7.0

    A new mixed saturation-temperature compatibility condition is derived for exact global-pressure equivalence in nonisothermal multiphase fractured flow, with numerical benchmarks confirming regimes where exactness hold...

  3. Orthogonal Quantum Krylov Diagonalisation

    quant-ph 2026-07 conditional novelty 6.5

    OQKD realizes classical Lanczos orthogonality and tridiagonal structure on a quantum computer via Hamiltonian polynomials and GQSP, removing overlap regularization while matching Chebyshev-QKD query complexity.

  4. Orthogonal Quantum Krylov Diagonalisation

    quant-ph 2026-07 conditional novelty 6.0

    An orthogonal quantum Krylov algorithm (OQKD) implements classical Lanczos recursion via GQSP polynomial transformations, avoiding overlap-matrix regularization but inheriting an exponential GQSP normalization overhead.

  5. Nonisothermal global-pressure exactness in fractured multiphase flow with aperture feedback

    physics.flu-dyn 2026-04 conditional novelty 6.0

    Constrained optimal polynomials (CUP and CAP) reduce quantum linear system solver errors under noise by jointly optimizing approximation accuracy and block-encoding normalization, outperforming standard QSVT and Cheby...

  6. Unitaria: Quantum Linear Algebra via Block Encodings

    quant-ph 2026-05 accept novelty 4.0

    Unitaria is a new open-source Python library that provides a high-level, composable interface for block encodings in quantum computing, enabling automatic circuit generation and classical simulation-based verification.