Papers
Live trends in quantum computing research, updated daily from arXiv.
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13,047 papers in 12 months (-2% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Superposed Quantum Error Mitigation.
Jorge Miguel-Ramiro, Zheng Shi, Luca Dellantonio +3 more·Apr 17, 2023
Overcoming the influence of noise and imperfections is a major challenge in quantum computing. Here, we present an approach based on applying a desired unitary computation in superposition between the system of interest and some auxiliary states. We ...
Multispin Clifford codes for angular momentum errors in spin systems
Sivaprasad Omanakuttan, J. Gross·Apr 17, 2023
The physical symmetries of a system play a central role in quantum error correction. In this work we encode a qubit in a collection of systems with angular-momentum symmetry (spins), extending the tools developed in Phys. Rev. Lett. 127, 010504 for s...
Leakage Benchmarking for Universal Gate Sets
Bujiao Wu, Xiaoyang Wang, Xiao Yuan +2 more·Apr 16, 2023
Errors are common issues in quantum computing platforms, among which leakage is one of the most-challenging to address. This is because leakage, i.e., the loss of information stored in the computational subspace to undesired subspaces in a larger Hil...
Quantum Neural Network for Quantum Neural Computing
Min-Gang Zhou, Zhi-Ping Liu, Hua‐Lei Yin +3 more·Apr 14, 2023
Neural networks have achieved impressive breakthroughs in both industry and academia. How to effectively develop neural networks on quantum computing devices is a challenging open problem. Here, we propose a new quantum neural network model for quant...
The END: An Equivariant Neural Decoder for Quantum Error Correction
E. Egorov, Roberto Bondesan, M. Welling·Apr 14, 2023
Quantum error correction is a critical component for scaling up quantum computing. Given a quantum code, an optimal decoder maps the measured code violations to the most likely error that occurred, but its cost scales exponentially with the system si...
Factorization of large tetra and penta prime numbers on IBM quantum processor
Ritu Dhaulakhandi, B. K. Behera, F. Seo·Apr 11, 2023
The factorization of large digit integers in polynomial time is a challenging computational task to decipher. The development of Shor’s algorithm sparked a new resolution for solving the factorization problem. However, putting Shor’s algorithm into u...
Ensemble fluid simulations on quantum computers
S. Succi, Wael Itani, K. Sreenivasan +1 more·Apr 11, 2023
We discuss the viability of ensemble simulations of fluid flows on quantum computers. The basic idea is to formulate a functional Liouville equation for the probability distribution of the flow field configuration and recognize that, due to its linea...
Statistical Phase Estimation and Error Mitigation on a Superconducting Quantum Processor
N. S. Blunt, Laura Caune, R'obert Izs'ak +2 more·Apr 11, 2023
Quantum phase estimation (QPE) is a key quantum algorithm, which has been widely studied as a method to perform chemistry and solid-state calculations on future fault-tolerant quantum computers. Recently, several authors have proposed statistical alt...
High Fidelity Noise-Tolerant State Preparation of a Heisenberg spin-1/2 Hamiltonian for the Kagome Lattice on a 16 Qubit Quantum Computer
W. Silva·Apr 10, 2023
This work describes a method to prepare the quantum state of the Heisenberg spin-1/2 Hamiltonian for the Kagome Lattice in an IBM 16 qubit quantum computer with a fidelity below 1% of the ground state computed via a classical Eigen-solver. Furthermor...
Battle Against Fluctuating Quantum Noise: Compression-Aided Framework to Enable Robust Quantum Neural Network
Zhirui Hu, Youzuo Lin, Qiang Guan +1 more·Apr 10, 2023
Recently, we have been witnessing the scale-up of superconducting quantum computers; however, the noise of quantum bits (qubits) is still an obstacle for real-world applications to leveraging the power of quantum computing. Although there exist error...
Majorization-based benchmark of the complexity of quantum processors
Alexandre B. Tacla, Nina Machado O'Neill, G. Carlo +2 more·Apr 10, 2023
Here, we propose the use of the majorization-based indicator for quantum computation complexity introduced in Vallejos et al. (Phys. Rev. A 104:012602, 2021) as a tool to benchmark the complexity within reach of quantum processors, when taking into a...
Neural-network-assisted quantum state and process tomography using limited data sets
Akshay Gaikwad, Omkar Bihani, Arvind +1 more·Apr 9, 2023
In this study we employ a feed-forward artificial neural network (FFNN) architecture to perform tomography of quantum states and processes obtained from noisy experimental data. To evaluate the performance of the FFNN, we use a heavily reduced data s...
Dissipative Protection of a GKP Qubit in a High-Impedance Superconducting Circuit Driven by a Microwave Frequency Comb
Lev-Arcady Sellem·Apr 4, 2023
We propose a novel approach to generate, protect, and control Gottesman-Kitaev-Preskill (GKP) qubits. It employs a microwave frequency comb parametrically modulating a Josephson circuit to enforce a dissipative dynamics of a high-impedance circuit mo...
Q‐fid: Quantum Circuit Fidelity Improvement with LSTM Networks
Yikai Mao, Shaswot Shresthamali, Masaaki Kondo·Mar 30, 2023
The fidelity of quantum circuits (QC) is influenced by several factors, including hardware characteristics, calibration status, and the transpilation process, all of which impact their susceptibility to noise. However, existing methods struggle to es...
Quantum Deep Hedging
El Amine Cherrat, S. Raj, Iordanis Kerenidis +12 more·Mar 29, 2023
Quantum machine learning has the potential for a transformative impact across industry sectors and in particular in finance. In our work we look at the problem of hedging where deep reinforcement learning offers a powerful framework for real markets....
Sparse Blossom: correcting a million errors per core second with minimum-weight matching
O. Higgott, C. Gidney·Mar 28, 2023
In this work, we introduce a fast implementation of the minimum-weight perfect matching (MWPM) decoder, the most widely used decoder for several important families of quantum error correcting codes, including surface codes. Our algorithm, which we ca...
Stabilization and Dissipative Information Transfer of a Superconducting Kerr-Cat Qubit
Ufuk Korkmaz, Deniz Türkpençe·Mar 28, 2023
Today, the competition to build a quantum computer continues, and the number of qubits in hardware is increasing rapidly. However, the quantum noise that comes with this process reduces the performance of algorithmic applications, so alternative ways...
Quantum approximate optimization via learning-based adaptive optimization
Lixue Cheng, Yu-Qin Chen, Shi-Xin Zhang +1 more·Mar 27, 2023
There is no universal way of optimizing the variation quantum circuits used in Noisy Intermediate-Scale Quantum (NISQ) applications. In this paper the authors introduce a new classical Bayesian optimizer, which converges much more quickly than conven...
Characterizing Crosstalk of Superconducting Transmon Processors
A. Ketterer, T. Wellens·Mar 24, 2023
Currently available quantum computing hardware based on superconducting transmon architectures realizes networks of hundreds of qubits with the possibility of controlled nearest-neighbor interactions. However, the inherent noise and decoherence effec...
Quantum search in a non-Markovian environment
Sheikh Parvez Mandal·Mar 23, 2023
This MS thesis explores the effects and origins of a 'noise with memory' in the dynamics of an open quantum system. The system considered here is a multi-qubit register performing the Grover's quantum search algorithm. We show that a Markovian-correl...