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Showing 1–19 of 19 results
Advanced filters: Author: John Preskill Clear advanced filters

  • The certification protocol presented here is an efficient way to verify that a many-qubit quantum state is close to a desired target state. As well as enabling the verification of near-term quantum devices, it has applications to quantum learning.

    • Hsin-Yuan Huang
    • John Preskill
    • Mehdi Soleimanifar
    Research
    Nature Physics
    P: 1-8

  • Excitement in the past few years about the apparent clumpiness of galactic clusters, leaving empty spaces in between, may be misplaced.

    • John Maddox
    News & Views
    Nature
    Volume: 319, P: 445

  • In general, it is difficult to identify the global energy minimum of a many-body system. Now, it has been shown that finding even local minima is difficult classically but efficiently achievable with a quantum computer.

    • Chi-Fang Chen
    • Hsin-Yuan Huang
    • Leo Zhou
    Research
    Nature Physics
    Volume: 21, P: 654-660

  • Our current understanding of the computational abilities of near-intermediate scale quantum (NISQ) computing devices is limited, in part due to the absence of a precise definition for this regime. Here, the authors formally define the NISQ realm and provide rigorous evidence that its capabilities are situated between the complexity classes BPP and BQP.

    • Sitan Chen
    • Jordan Cotler
    • Jerry Li
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-6

  • Twenty-first century computers could achieve astonishing speed by exploiting the principles of quantum mechanics. New techniques of quantum error correction will be essential to prevent those machines from crashing.

    • John Preskill
    News & Views
    Nature
    Volume: 391, P: 631-632

  • Recent work proposed a machine learning algorithm for predicting ground state properties of quantum many-body systems that outperforms any non-learning classical algorithm but requires extensive training data. Lewis et al. present an improved algorithm with exponentially reduced training data requirements.

    • Laura Lewis
    • Hsin-Yuan Huang
    • John Preskill
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-8

  • The extent of problems in quantum chemistry for which quantum algorithms could provide a speedup is still unclear, as well as the kind of speedup one should expect. Here, the authors look at the problem of ground state energy estimation, and gather theoretical and numerical evidence for the fact that an exponential quantum advantage is unlikely for generic problems of interest.

    • Seunghoon Lee
    • Joonho Lee
    • Garnet Kin-Lic Chan
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-7

  • Masoud Mohseni, Peter Read, Hartmut Neven and colleagues at Google's Quantum AI Laboratory set out investment opportunities on the road to the ultimate quantum machines.

    • Masoud Mohseni
    • Peter Read
    • John Martinis
    Comments & Opinion
    Nature
    Volume: 543, P: 171-174

  • Some quantum states are hard to create and maintain, but are a valuable resource for computing. Twenty-first century entrepreneurs could make a fortune selling disposable quantum states.

    • John Preskill
    News & Views
    Nature
    Volume: 402, P: 357-358

  • The possibility to reach Heisenberg-limited quantum measurements in the presence of noise is a long-standing problem. Here, the authors derive a necessary and sufficient condition on the noise acting on any finite-dimensional probe to establish whether the Heisenberg limit is reachable using quantum error correction.

    • Sisi Zhou
    • Mengzhen Zhang
    • Liang Jiang
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-11

  • Computing plays a critical role in the biological sciences but faces increasing challenges of scale and complexity. Quantum computing, a computational paradigm exploiting the unique properties of quantum mechanical analogs of classical bits, seeks to address many of these challenges. We discuss the potential for quantum computing to aid in the merging of insights across different areas of biological sciences.

    • Prashant S. Emani
    • Jonathan Warrell
    • Aram W. Harrow
    Comments & Opinion
    Nature Methods
    Volume: 18, P: 701-709

  • Randomized measurements provide a feasible procedure for probing properties of many-body quantum states realized in today’s quantum simulators and quantum computers. This Review covers implementation, classical post-processing and theoretical performance guarantees of randomized measurement protocols, surveying their many applications and discussing current challenges.

    • Andreas Elben
    • Steven T. Flammia
    • Peter Zoller
    Reviews
    Nature Reviews Physics
    Volume: 5, P: 9-24