Papers
Live trends in quantum computing research, updated daily from arXiv.
Total Papers
27,749
This Month
1,196
Today
0
Research Volume
13,046 papers in 12 months (-2% vs prior quarter)
Research Focus Areas
Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Architectures for Quantum Information Processing
S. Upadhyay, M. Alam, Swaroop Ghosh·Nov 11, 2022
Quantum computing is changing the way we think about computing. Significant strides in research and development for managing and harnessing the power of quantum systems has been made in recent years, demonstrating the potential for transformative qua...
Quantum Routing for Emerging Quantum Networks
W. Shi, R. Malaney·Nov 11, 2022
Quantum routing, the entanglement of an input quantum signal over multiple output paths, will be an important aspect of future quantum networks. Implementation of such routing in nearterm quantum networks via the noisy quantum devices currently under...
Hardware optimized parity check gates for superconducting surface codes
M. Reagor, Thomas Perez, E. Sete +1 more·Nov 11, 2022
Error correcting codes use multi-qubit measurements to realize fault-tolerant quantum logic steps. In fact, the resources needed to scale-up fault-tolerant quantum computing hardware are largely set by this task. Tailoring next-generation processors ...
Quantum error mitigation for rotation-symmetric bosonic codes with symmetry expansion
Suguru Endo, Yasunari Suzuki, Kento Tsubouchi +4 more·Nov 11, 2022
The rotation symmetric bosonic code (RSBC) is a unified framework of practical bosonic codes that have rotation symmetries, such as cat codes and binomial codes. While cat codes achieve the break-even point in which the coherence time of the encoded ...
Quantum power flows: from theory to practice
Junyu Liu, Hang Zheng, M. Hanada +2 more·Nov 10, 2022
The high-level integration of spatial-dispersed renewable energies can greatly enlarge future smart grid size and complicate system operations. Existing numerical methods based on classical computational oracles may be challenged to fulfill efficienc...
QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks
Kaixiong Zhou, Zhenyu (Allen) Zhang, Sheng-Wei Chen +4 more·Nov 9, 2022
Quantum neural networks (QNNs), an interdisciplinary field of quantum computing and machine learning, have attracted tremendous research interests due to the specific quantum advantages. Despite lots of efforts developed in computer vision domain, on...
A Polynomial-Time Classical Algorithm for Noisy Random Circuit Sampling
D. Aharonov, Xun Gao, Zeph Landau +2 more·Nov 8, 2022
We give a polynomial time classical algorithm for sampling from the output distribution of a noisy random quantum circuit in the regime of anti-concentration to within inverse polynomial total variation distance. The algorithm is based on a quantum a...
Pulse-efficient quantum machine learning
A. Melo, Nathan Earnest-Noble, F. Tacchino·Nov 2, 2022
Quantum machine learning algorithms based on parameterized quantum circuits are promising candidates for near-term quantum advantage. Although these algorithms are compatible with the current generation of quantum processors, device noise limits thei...
Localizing genuine multipartite entanglement in noisy stabilizer states
H. J., A. Pal·Nov 2, 2022
Characterizing large noisy multiparty quantum states using genuine multiparty entanglement is a challenging task. In this paper, we calculate lower bounds of genuine multiparty entanglement localized over a chosen multiparty subsystem of multi-qubit ...
On the practical usefulness of the Hardware Efficient Ansatz
L. Leone, Salvatore F. E. Oliviero, L. Cincio +1 more·Nov 2, 2022
Variational Quantum Algorithms (VQAs) and Quantum Machine Learning (QML) models train a parametrized quantum circuit to solve a given learning task. The success of these algorithms greatly hinges on appropriately choosing an ansatz for the quantum ci...
Faster variational quantum algorithms with quantum kernel-based surrogate models
Alistair W. R. Smith, A. Paige, Myungshik S. Kim·Nov 2, 2022
We present a new optimization strategy for small-to-intermediate scale variational quantum algorithms (VQAs) on noisy near-term quantum processors which uses a Gaussian process surrogate model equipped with a classically-evaluated quantum kernel. VQA...
Charter: Identifying the Most-Critical Gate Operations in Quantum Circuits via Amplified Gate Reversibility
Tirthak Patel, Daniel Silver, Devesh Tiwari·Nov 1, 2022
When quantum programs are executed on noisy intermediate-scale quantum (NISQ) computers, they experience hardware noise; consequently, the program outputs are often erroneous. To mitigate the adverse effects of hardware noise, it is necessary to unde...
Modeling noise in global Mølmer-Sørensen interactions applied to quantum approximate optimization
Phillip C. Lotshaw, Kevin D. Battles, Bryan T. Gard +3 more·Oct 31, 2022
Many-qubit Molmer-Sorensen (MS) interactions applied to trapped ions offer unique capabilities for quantum information processing, with applications including quantum simulation and the quantum approximate optimization algorithm (QAOA). Here, we deve...
Programmable adiabatic demagnetization for systems with trivial and topological excitations
A. Matthies, M. Rudner, A. Rosch +1 more·Oct 31, 2022
We propose a simple, robust protocol to prepare a low-energy state of an arbitrary Hamiltonian on a quantum computer or programmable quantum simulator. The protocol is inspired by the adiabatic demagnetization technique, used to cool solid-state syst...
Exploring the Advantages of Quantum Generative Adversarial Networks in Generative Chemistry
Po-Yu Kao, Ya-Chu Yang, Wei-Yin Chiang +3 more·Oct 30, 2022
De novo drug design with desired biological activities is crucial for developing novel therapeutics for patients. The drug development process is time- and resource-consuming, and it has a low probability of success. Recent advances in machine learni...
TorchQuantum Case Study for Robust Quantum Circuits (Invited Paper)
Hanrui Wang, Pengyu Liu, Jinglei Cheng +10 more·Oct 29, 2022
Quantum Computing has attracted much research attention because of its potential to achieve fundamental speed and efficiency improvements in various domains. Among different quantum algorithms, Parameterized Quantum Circuits (PQC) for Quantum Machine...
Digital Quantum Simulation of the Spin-Boson Model under Markovian Open-System Dynamics
Andreas Burger, L. Kwek, D. Poletti·Oct 28, 2022
Digital quantum computers have the potential to simulate complex quantum systems. The spin-boson model is one of such systems, used in disparate physical domains. Importantly, in a number of setups, the spin-boson model is open, i.e., the system is i...
Quantum Variational Rewinding for Time Series Anomaly Detection
J. Baker, H. Horowitz, Santosh Kumar Radha +6 more·Oct 28, 2022
We explore a new quantum computing approach to time series anomaly detection (TAD). Our approach - Quantum Variational Rewinding (QVR) - trains a family of parameterized unitary time-devolution operators to cluster normal time series instances encode...
Stochastic Approach for Simulating Quantum Noise Using Tensor Networks
W. Berquist, Danylo Lykov, Minzhao Liu +1 more·Oct 28, 2022
Noisy quantum simulation is challenging since one has to take into account the stochastic nature of the process. The dominating method for it is the density matrix approach. In this paper, we evaluate conditions for which this method is inferior to a...
New magic state distillation factories optimized by temporally encoded lattice surgery
Prithviraj Prabhu, C. Chamberland·Oct 28, 2022
Fault-tolerant quantum computers, with error correction implemented using topological codes, will most likely require lattice surgery protocols in order to implement a universal gate set. Timelike failures during lattice surgery protocols can result ...