Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–12 of 12 results
Advanced filters: Author: Alireza Seif Clear advanced filters

  • Fast and reliable characterisation of quantum systems is a key part of quantum technologies development. Here, the authors propose and demonstrate a way to embed noise characterisation in classical shadow estimation of nonlocal properties, enabling an efficient way to extract information from noisy quantum systems.

    • Hong-Ye Hu
    • Andi Gu
    • Alireza Seif
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-14

  • Phonon transport control is important for thermal and non-reciprocal devices. Here, Seif et al. combine heat transport in nanostructures and optomechanics into a platform for manipulating phonons with which they design an acoustic isolator and a thermal diode.

    • Alireza Seif
    • Wade DeGottardi
    • Mohammad Hafezi
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-8

  • Local integrals of motion are useful for understanding emergent integrability in many-body localized systems. Here the authors use a large-scale superconducting quantum processor with up to 124 qubits to simulate many-body dynamics in 1D and 2D systems and demonstrate extraction of local integrals of motion.

    • Oles Shtanko
    • Derek S. Wang
    • Zlatko Minev
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-8

  • Standard ways of characterising quantum states incur exponential overhead. Here, the authors consider the task of reconstructing density matrices of multimode continuous variable systems, and demonstrate a method which scales polynomially with the system size, provided the state lies in a polynomial dimensional subspace.

    • Kevin He
    • Ming Yuan
    • David I. Schuster
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-7

  • Quantum error mitigation improves the accuracy of quantum computers at a computational overhead. Liao et al. demonstrate that classical machine learning models can deliver accuracy comparable to that of conventional techniques while reducing quantum computational costs.

    • Haoran Liao
    • Derek S. Wang
    • Zlatko K. Minev
    Research
    Nature Machine Intelligence
    Volume: 6, P: 1478-1486

  • Measurements combined with post-processing of their outcomes can be used to prepare ordered quantum states. It has been shown that they can drive a Nishimori phase transition into a disordered state even in the presence of quantum errors.

    • Edward H. Chen
    • Guo-Yi Zhu
    • Abhinav Kandala
    Research
    Nature Physics
    Volume: 21, P: 161-167

  • The phrase ‘arrow of time’ refers to the asymmetry in the flow of events. A machine learning algorithm trained to infer its direction identifies entropy production as the relevant underlying physical principle in the decision-making process.

    • Alireza Seif
    • Mohammad Hafezi
    • Christopher Jarzynski
    Research
    Nature Physics
    Volume: 17, P: 105-113

  • Characterisation of quantum hardware requires clear indications on what can and cannot be learned about quantum noise. Here, the authors show how to characterise learnable degrees of freedom of a Clifford gate using tools from algebraic graph theory.

    • Senrui Chen
    • Yunchao Liu
    • Liang Jiang
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-8

  • Implementing non-reciprocal elements with a bandwidth comparable to optical frequencies is a challenge in integrated photonics. Now, a phonon pump has been used to achieve optical non-reciprocity over a large bandwidth.

    • Alireza Seif
    • Mohammad Hafezi
    News & Views
    Nature Photonics
    Volume: 12, P: 60-61