Papers
Live trends in quantum computing research, updated daily from arXiv.
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Research Volume
15,355 papers in 12 months (-8% vs prior quarter)
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Papers by research theme (12 months). Hover for details.
Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum algorithm for Wang-Landau sampling
Garrett T. Floyd, D. Landau, M. Geller·Aug 19, 2022
It has been shown that the Metropolis algorithm can be implemented on quantum computers in a way that avoids the sign problem. However, flat histogram techniques are often preferred as they don’t suffer from the same limitations that afflict Metropolis f...
Silicon edge-dot architecture for quantum computing with global control and integrated trimming
M. Fogarty·Aug 19, 2022
A scalable quantum information processing architecture based on silicon metal-oxide-semiconductor technology is presented, combining quantum hardware elements from planar and 3D silicon-on-insulator technologies. This architecture is expressed in the...
Engineering random spin models with atoms in a high-finesse cavity
N. Sauerwein, Francesca Orsi, Philipp Uhrich +6 more·Aug 19, 2022
Random spin models play a key role in our understanding of disorder and complex many-body systems. Two all-to-all interacting, disordered models have now been realized using a cavity quantum electrodynamics platform. All-to-all interacting, disordere...
Polarization correction towards satellite-based QKD without an active feedback
S. Chatterjee, K. Goswami, Rishab Chatterjee +1 more·Aug 19, 2022
Quantum key distribution (QKD) is a cryptographic protocol to enable two parties to share a secure key string, which can be used in one-time pad cryptosystem. There has been an ongoing surge of interest in implementing long-haul photonic-implementati...
Adaptive channel estimation for mitigating circuits executed on noisy quantum devices
S. Dasgupta, T. Humble·Aug 18, 2022
Conventional computers have evolved to device components that demonstrate failure rates of 1e-17 or less, while current quantum computing devices typically exhibit error rates of 1e-2 or greater. This raises concerns about the reliability and reprodu...
Leveraging Small-Scale Quantum Computers with Unitarily Downfolded Hamiltonians
Ren-dong Huang, Chenyang Li, Francesco A. Evangelista·Aug 18, 2022
In this work, we propose a quantum unitary downfolding formalism based on the driven similarity renormalization group (QDSRG) that may be combined with quantum algorithms for both noisy and fault-tolerant hardware. The QDSRG is a classical polynomial...
Unsupervised interpretable learning of phases from many-qubit systems
Nicolas Sadoune, G. Giudici, Ke Liu +1 more·Aug 18, 2022
Experimental progress in qubit manufacturing calls for the development of new theoretical tools to analyze quantum data. We show how an unsupervised machine-learning technique can be used to understand short-range entangled many-qubit systems using d...
Near Threshold Computation of Partitioned Ring Learning With Error (RLWE) Post Quantum Cryptography on Reconfigurable Architecture
P. Baidya, S. Mandal, R. Paul·Aug 17, 2022
Ring Learning With Error (RLWE) algorithm is used in Post Quantum Cryptography (PQC) and Homomorphic Encryption (HE) algorithm. The existing classical crypto algorithms may be broken in quantum computers. The adversaries can store all encrypted data....
Topological phases of matter, Quantum Error Correction and Topological twist
Tushar Pandey·Aug 17, 2022
Unitary Modular Tensor Categories(UMTC) have a one-to-one correspondence with Topological Quantum Field Theories (TQFT). Different identifications have been made so far associating different physical particle types (anyons) to different UMTCs. Howeve...
Quantum Bayesian computation
Nick Polson, Vadim O. Sokolov, Jianeng Xu·Aug 17, 2022
Quantum Bayesian computation is an emerging field that levers the computational gains available from quantum computers. They promise to provide an exponential speed‐up in Bayesian computation. Our article adds to the literature in three ways. First, ...
Heart Disease Detection using Quantum Computing and Partitioned Random Forest Methods
Hanif Heidari, Gerhard Hellstern, Murugappan Murugappan·Aug 17, 2022
Heart disease morbidity and mortality rates are increasing, which has a negative impact on public health and the global economy. Early detection of heart disease reduces the incidence of heart mortality and morbidity. Recent research has utilized qua...
A Tutorial Introduction to Lattice-based Cryptography and Homomorphic Encryption
Yang Li, K. S. Ng, Michael Purcell·Aug 17, 2022
Why study Lattice-based Cryptography? There are a few ways to answer this question. 1. It is useful to have cryptosystems that are based on a variety of hard computational problems so the different cryptosystems are not all vulnerable in the same way...
Quantum computing for a profusion of postman problem variants
Joel E. Pion, C. Negre, S. Mniszewski·Aug 17, 2022
In this paper we study the viability of solving the Chinese Postman Problem, a graph routing optimization problem, and many of its variants on a quantum annealing device. Routing problem variants considered include graph type, directionally varying w...
Mixed Quantum–Classical Method for Fraud Detection With Quantum Feature Selection
M. Grossi, Noelle Ibrahim, V. Radescu +4 more·Aug 16, 2022
This article presents a first end-to-end application of a quantum support vector machine (QSVM) algorithm for a classification problem in the financial payment industry using the IBM Safer Payments and IBM Quantum Computers via the Qiskit software st...
Partial Equivalence Checking of Quantum Circuits
Tian-Fu Chen, J. H. Jiang, Min-Hsiu Hsieh·Aug 16, 2022
Equivalence checking of quantum circuits is an essential element in quantum program compilation, in which a quantum program can be synthesized into different quantum circuits that may vary in the number of qubits, initialization requirements, and out...
Rapid Discovery of Graphene Nanocrystals Using DFT and Bayesian Optimization with Neural Network Kernel
cSener Ozonder, H. K. Kuccukkartal·Aug 16, 2022
Density functional theory (DFT) is a powerful computational method used to obtain physical and chemical properties of materials. In the materials discovery framework, it is often necessary to virtually screen a large and high-dimensional chemical spa...
Adaptive POVM implementations and measurement error mitigation strategies for near-term quantum devices
A. Glos, A. Nykanen, Elsi-Mari Borrelli +4 more·Aug 16, 2022
We present adaptive measurement techniques tailored for variational quantum algorithms on near-term small and noisy devices. In particular, we generalise earlier learning to measure strategies in two ways. First, by considering a class of adaptive po...
Towards the simulation of transition-metal oxides of the cathode battery materials using VQE methods
M. Farag, J. Ghosh·Aug 16, 2022
Variational quantum eigensolver (VQE) is a hybrid quantum-classical technique that leverages noisy intermediate scale quantum (NISQ) hardware to obtain the minimum eigenvalue of a model Hamiltonian. VQE has so far been used to simulate condensed matt...
Fidelity of the Kitaev honeycomb model under a quench
Wesley Roberts, M. Vogl, G. Fiete·Aug 16, 2022
Motivated by rapid developments in the field of quantum computing and the increasingly diverse nature of qubits, we theoretically study the influence that quenched outside disturbances have in an intermediately long time limit. We consider localized ...
Mean estimation when you have the source code; or, quantum Monte Carlo methods
Robin Kothari, R. O'Donnell·Aug 16, 2022
Suppose $\boldsymbol{y}$ is a real random variable, and one is given access to ``the code'' that generates it (for example, a randomized or quantum circuit whose output is $\boldsymbol{y}$). We give a quantum procedure that runs the code $O(n)$ times...