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Circuit-to-Hamiltonian from Tensor Networks and Fault Tolerance

Published: 11 June 2024 Publication History
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  • Abstract

    We define a map from an arbitrary quantum circuit to a local Hamiltonian whose ground state encodes the quantum computation. All previous maps relied on the Feynman-Kitaev construction, which introduces an ancillary "clock register" to track the computational steps. Our construction, on the other hand, relies on injective tensor networks with associated parent Hamiltonians, avoiding the introduction of a clock register. This comes at the cost of the ground state containing only a noisy version of the quantum computation, with independent stochastic noise. We can remedy this - making our construction robust - by using quantum fault tolerance. In addition to the stochastic noise, we show that any state with energy density exponentially small in the circuit depth encodes a noisy version of the quantum computation with adversarial noise. We also show that any "combinatorial state" with energy density polynomially small in depth encodes the quantum computation with adversarial noise. This serves as evidence that any state with energy density polynomially small in depth has a similar property. As an application, we show that contracting injective tensor networks to additive error is BQP-hard. We also discuss the implication of our construction to the quantum PCP conjecture, combining with an observation that QMA verification can be done in logarithmic depth.

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    cover image ACM Conferences
    STOC 2024: Proceedings of the 56th Annual ACM Symposium on Theory of Computing
    June 2024
    2049 pages
    ISBN:9798400703836
    DOI:10.1145/3618260
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 11 June 2024

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    Author Tags

    1. Circuit-to-Hamiltonian
    2. Ground states
    3. Quantum PCP conjecture
    4. Quantum fault tolerance
    5. Tensor networks

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    • NSF Award
    • NSF award QCIS-FF: Quantum Computing & Information Science Faculty Fellow at Harvard University

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    STOC '24
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    STOC '24: 56th Annual ACM Symposium on Theory of Computing
    June 24 - 28, 2024
    BC, Vancouver, Canada

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