Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Effective quantum volume, fidelity and computational cost of noisy quantum processing experiments
K. Kechedzhi, S. Isakov, S. Mandrà +4 more·Jun 28, 2023
Today's experimental noisy quantum processors can compete with and surpass all known algorithms on state-of-the-art supercomputers for the computational benchmark task of Random Circuit Sampling [1-5]. Additionally, a circuit-based quantum simulation...
Efficient Sampling of Noisy Shallow Circuits Via Monitored Unraveling
Zihan Cheng, Matteo Ippoliti·Jun 28, 2023
We introduce a classical algorithm for sampling the output of shallow, noisy random circuits on two-dimensional qubit arrays. The algorithm builds on the recently-proposed"space-evolving block decimation"(SEBD) and extends it to the case of noisy cir...
Fast classical simulation of evidence for the utility of quantum computing before fault tolerance
Tomislav Beguvsi'c, G. Chan·Jun 28, 2023
We show that a classical algorithm based on sparse Pauli dynamics can efficiently simulate quantum circuits studied in a recent experiment on 127 qubits of IBM's Eagle processor [Nature 618, 500 (2023)]. Our classical simulations on a single core of ...
Fighting Noise with Noise: A Stochastic Projective Quantum Eigensolver
Maria-Andreea Filip·Jun 26, 2023
In the current noisy intermediate scale quantum era of quantum computation, available hardware is severely limited by both qubit count and noise levels, precluding the application of many current hybrid quantum-classical algorithms to nontrivial quan...
Deep Bayesian experimental design for quantum many-body systems
Leopoldo Sarra, F. Marquardt·Jun 26, 2023
Bayesian experimental design is a technique that allows to efficiently select measurements to characterize a physical system by maximizing the expected information gain. Recent developments in deep neural networks and normalizing flows allow for a mo...
Going beyond gadgets: the importance of scalability for analogue quantum simulators
Dylan Harley, Ishaun Datta, Frederik Ravn Klausen +4 more·Jun 23, 2023
Quantum hardware has the potential to efficiently solve computationally difficult problems in physics and chemistry to reap enormous practical rewards. Analogue quantum simulation accomplishes this by using the dynamics of a controlled many-body syst...
Optimization Tools for Distance-Preserving Flag Fault-Tolerant Error Correction
Bálint Pató, Theerapat Tansuwannont, Shilin Huang +1 more·Jun 22, 2023
Lookup-table decoding is fast and distance preserving, making it attractive for near-term quantum computer architectures with small-distance quantum error-correcting codes. In this work, we develop several optimization tools that can potentially redu...
Trotter error bounds and dynamic multi-product formulas for Hamiltonian simulation
S. Zhuk, Niall F. Robertson, S. Bravyi·Jun 21, 2023
Multi-product formulas (MPFs) are linear combinations of Trotter circuits offering high-quality simulation of Hamiltonian time evolution with fewer Trotter steps. Here we report two contributions aimed at making multi-product formulas more viable for...
DGEMM on integer matrix multiplication unit
Hiroyuki Ootomo, K. Ozaki, Rio Yokota·Jun 21, 2023
Deep learning hardware achieves high throughput and low power consumption by reducing computing precision and specializing in matrix multiplication. For machine learning inference, fixed-point value computation is commonplace, where the input and out...
A Design Framework for the Simulation of Distributed Quantum Computing
Davide Ferrari, M. Amoretti·Jun 20, 2023
The growing demand for large-scale quantum computers is pushing research on Distributed Quantum Computing (DQC). Recent experimental efforts have demonstrated some of the building blocks for such a design. DQC systems are clusters of quantum processi...
Minimizing the negativity of quantum circuits in overcomplete quasiprobability representations
D. A. Kulikov, V. Yashin, A. Fedorov +1 more·Jun 19, 2023
The problem of simulatability of quantum processes using classical resources plays a cornerstone role for quantum computing. Quantum circuits can be simulated classically, e.g., using Monte Carlo sampling techniques applied to quasiprobability repres...
Quantum Advantage of Noisy Grover's Algorithm
Jian Leng, Fan Yang, Xiang-Bin Wang·Jun 19, 2023
Quantum advantage is the core of quantum computing. Grover's search algorithm is the only quantum algorithm with proven advantage to any possible classical search algorithm. However, realizing this quantum advantage in practice is quite challenging s...
Enabling High Performance Debugging for Variational Quantum Algorithms using Compressed Sensing
Tianyi Hao, Kun Liu, Swamit S. Tannu·Jun 17, 2023
Variational quantum algorithms (VQAs) can potentially solve practical problems using contemporary Noisy Intermediate Scale Quantum (NISQ) computers. VQAs find near-optimal solutions in the presence of qubit errors by classically optimizing a loss fun...
Scalable Quantum Networks: Congestion-Free Hierarchical Entanglement Routing with Error Correction
Hyeongrak Choi, M. Davis, 'Alvaro G. Inesta +1 more·Jun 15, 2023
We introduce Quantum Tree Networks (QTN), an architecture for hierarchical multi-flow entanglement routing. The network design is a $k$-ary tree where end nodes are situated on the leaves and routers at the internal nodes, with each node connected to...
Quantum computing with subwavelength atomic arrays
Freya Shah, T. Patti, Oriol Rubies-Bigorda +1 more·Jun 14, 2023
Photon-mediated interactions in subwavelength atomic arrays have numerous applications in quantum science. In this manuscript, we explore the potential of three-level quantum emitters, or ``impurities"embedded in a two-dimensional atomic array to ser...
Construction of Antisymmetric Variational Quantum States with Real Space Representation.
Takahiro Horiba, Soichi Shirai, H. Hirai·Jun 14, 2023
Electronic state calculations using quantum computers are mostly based on the second quantized formulation, which is suitable for qubit representation. Another way to describe electronic states on a quantum computer is based on the first quantized fo...
Guarding Quantum Key Distribution with integrated Magnetic-free Nonreciprocal Structures
Qiang Liu, Yinming Huang, T. Luo +4 more·Jun 11, 2023
Inserting nonreciprocal devices at the doorways of Alice and Bob is a widely recognized countermeasure against quantum hacking attacks in quantum key distribution (QKD) systems. However, traditional integrated nonreciprocal devices, which are typical...
Prediction of the neutron drip line in oxygen isotopes using quantum computation
C. Sarma, Olivia Di Matteo, A. Abhishek +1 more·Jun 10, 2023
In the noisy intermediate-scale quantum era, variational algorithms have become a standard approach to solving quantum many-body problems. Here, we present variational quantum eigensolver (VQE) results of selected oxygen isotopes within the shell mod...
Mapping Molecular Hamiltonians into Hamiltonians of Modular cQED Processors.
Ningyi Lyu, A. Miano, I. Tsioutsios +7 more·Jun 10, 2023
We introduce a general method based on the operators of the Dyson-Masleev transformation to map the Hamiltonian of an arbitrary model system into the Hamiltonian of a circuit Quantum Electrodynamics (cQED) processor. Furthermore, we introduce a modul...
Simulating Noisy Variational Quantum Algorithms: A Polynomial Approach.
Yuguo Shao, Fuchuan Wei, Song Cheng +1 more·Jun 9, 2023
Large-scale variational quantum algorithms are widely recognized as a potential pathway to achieve practical quantum advantages. However, the presence of quantum noise might suppress and undermine these advantages, which blurs the boundaries of class...