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Live trends in quantum computing research, updated daily from arXiv.
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Hybrid Quantum-Classical Algorithms and Quantum Error Mitigation
Suguru Endo, Z. Cai, S. Benjamin +1 more·Nov 2, 2020
Quantum computers can exploit a Hilbert space whose dimension increases exponentially with the number of qubits. In experiment, quantum supremacy has recently been achieved by the Google team by using a noisy intermediate-scale quantum (NISQ) device ...
One-shot quantum error correction of classical and quantum information
Y. Nakata, Eyuri Wakakuwa, H. Yamasaki·Nov 2, 2020
The major goal of quantum communication theory is to determine how much information can be protected from a given quantum noise by encoding operations. The capacity theorems provide answers to the question in various settings. We here provide a capac...
Hybridization mechanism of the dual proximity effect in superconductor–topological insulator interfaces
N. Sedlmayr, A. Levchenko·Oct 27, 2020
In this communication we consider generalities of the proximity effect in a contact between a conventional $s$-wave superconductor (S) nano-island and a thin film of a topological insulator (TI). A local hybridization coupling mechanism is considered...
U(1)-symmetric recurrent neural networks for quantum state reconstruction
Stewart Morawetz, Isaac J. S. De Vlugt, J. Carrasquilla +1 more·Oct 27, 2020
Generative models are a promising technology for the enhancement of quantum simulators. These machine learning methods are capable of reconstructing a quantum state from experimental measurements, and can aid in the calculation of physical observable...
Optimizing radiotherapy plans for cancer treatment with Tensor Networks
Samuele Cavinato, Timo Felser, M. Fusella +2 more·Oct 19, 2020
We present a novel application of Tensor Network methods in cancer treatment as a potential tool to solve the dose optimization problem in radiotherapy. In particular, the intensity-modulated radiation therapy technique—that allows treating irregular...
Adaptive Circuit Learning for Quantum Metrology
Ziqi Ma, P. Gokhale, Tian-Xing Zheng +5 more·Oct 17, 2020
Quantum sensing is an important application of emerging quantum technologies. We explore whether a hybrid system of quantum sensors and quantum circuits can surpass the classical limit of sensing. In particular, we use optimization techniques to sear...
Accelerated impurity solver for DMFT and its diagrammatic extensions
C. Melnick, P. S'emon, Kwangmin Yu +3 more·Oct 16, 2020
We present ComCTQMC, a GPU accelerated quantum impurity solver. It uses the continuous-time quantum Monte Carlo (CTQMC) algorithm wherein the partition function is expanded in terms of the hybridisation function (CT-HYB). ComCTQMC supports both parti...
Quantum machine learning for particle physics using a variational quantum classifier
A. Blance, M. Spannowsky·Oct 14, 2020
Quantum machine learning aims to release the prowess of quantum computing to improve machine learning methods. By combining quantum computing methods with classical neural network techniques we aim to foster an increase of performance in solving clas...
Iterative quantum-assisted eigensolver
Kishor Bharti, T. Haug·Oct 12, 2020
The task of estimating ground state and ground state energy of Hamiltonians is an important problem in physics with numerous applications ranging from solid-state physics to combinatorial optimization. We provide a hybrid quantum-classical algorithm ...
Dynamical Self-energy Mapping (DSEM) for quantum computing.
Diksha Dhawan, Mekena Metcalf, D. Zgid·Oct 12, 2020
For noisy intermediate-scale quantum (NISQ) devices only a moderate number of qubits with a limited coherence is available thus enabling only shallow circuits and a few time evolution steps in the currently performed quantum computations. Here, we pr...
Approximate Bacon-Shor code and holography
ChunJun Cao, Brad Lackey·Oct 12, 2020
We explicitly construct a class of holographic quantum error correction codes with non-trivial centers in the code subalgebra. Specifically, we use the Bacon-Shor codes and perfect tensors to construct a gauge code (or a stabilizer code with gauge-fi...
Inverse iteration quantum eigensolvers assisted with a continuous variable
M. He, Zhang Danbo, Zi-Dan Wang·Oct 7, 2020
The capacity for solving eigenstates with a quantum computer is key for ultimately simulating physical systems. Here we propose inverse iteration quantum eigensolvers, which exploit the power of quantum computing for the classical inverse power itera...
Reinforcement Learning for Many-Body Ground-State Preparation Inspired by Counterdiabatic Driving
Jiahao Yao, Lin Lin, Marin Bukov·Oct 7, 2020
The quantum alternating operator ansatz (QAOA) is a prominent example of variational quantum algorithms. We propose a generalized QAOA called CD-QAOA, which is inspired by the counterdiabatic driving procedure, designed for quantum many-body systems ...
Universal Effectiveness of High-Depth Circuits in Variational Eigenproblems
·Oct 1, 2020
We explore the effectiveness of high-depth, noiseless, parameteric quantum circuits by challenging their capability to simulate the ground states of quantum many-body Hamiltonians. Even a generic layered circuit Ansatz can approximate the ground stat...
Adaptive pruning-based optimization of parameterized quantum circuits
Sukin Sim, J. Romero, J. Gonthier +1 more·Oct 1, 2020
Variational hybrid quantum–classical algorithms are powerful tools to maximize the use of noisy intermediate-scale quantum devices. While past studies have developed powerful and expressive ansatze, their near-term applications have been limited by t...
Quantum computed moments correction to variational estimates
H. J. Vallury, Michael Jones, C. Hill +1 more·Sep 28, 2020
The variational principle of quantum mechanics is the backbone of hybrid quantum computing for a range of applications. However, as the problem size grows, quantum logic errors and the effect of barren plateaus overwhelm the quality of the results. T...
Sparse-Hamiltonian approach to the time-evolution of molecules on quantum computers
Christina Daniel, Diksha Dhawan, D. Zgid +1 more·Sep 26, 2020
Quantum chemistry has been viewed as one of the potential early applications of quantum computing. Two techniques have been proposed for electronic structure calculations: (1) the variational quantum eigensolver and (2) the phase-estimation algorithm...
The hybrid topological longitudinal transmon qubit
Alec Dinerstein, Caroline S. Gorham, E. Dumitrescu·Sep 25, 2020
We introduce a new hybrid qubit consisting of a Majorana qubit interacting with a transmon longitudinally coupled to a resonator. To do so, we equip the longitudinal transmon qubit with topological quasiparticles, supported by an array of heterostruc...
Quantum Assisted Eigensolver
Kishor Bharti·Sep 23, 2020
We propose a hybrid quantum-classical algorithm for approximating the ground state and ground state energy of a Hamiltonian. Once the Ansatz has been decided, the quantum part of the algorithm involves the calculation of two overlap matrices. The out...
A state-averaged orbital-optimized hybrid quantum–classical algorithm for a democratic description of ground and excited states
Saad Yalouz, Bruno Senjean, Jakob Günther +3 more·Sep 23, 2020
In the noisy intermediate-scale quantum (NISQ) era, solving the electronic structure problem from chemistry is considered as the ‘killer application’ for near-term quantum devices. In spite of the success of variational hybrid quantum/classical algor...