Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Problem-size-independent angles for a Grover-driven quantum approximate optimization algorithm
David Headley, F. Wilhelm·Aug 22, 2022
The Quantum Approximate Optimization Algorithm (QAOA) requires that circuit parameters are determined that allow one to sample from high-quality solutions to combinatorial optimization problems. Such parameters can be obtained using either costly out...
Solvable model of deep thermalization with distinct design times
Matteo Ippoliti, W. Ho·Aug 22, 2022
We study the emergence over time of a universal, uniform distribution of quantum states supported on a finite subsystem, induced by projectively measuring the rest of the system. Dubbed deep thermalization, this phenomenon represents a form of equili...
Efficient algorithms for quantum information bottleneck
Masahito Hayashi, Yuxiang Yang·Aug 22, 2022
The ability to extract relevant information is critical to learning. An ingenious approach as such is the information bottleneck, an optimisation problem whose solution corresponds to a faithful and memory-efficient representation of relevant informa...
An Implementation of the Quantum Verification of Matrix Products Algorithm
Elton Pinto·Aug 21, 2022
Quantum computing has experienced a recent surge in popularity given the advancements in NISQ machines. Quantum algorithms are known to solve problems like factoring numbers and simulating natural systems more efficiently than a classical computer. C...
The Early Days of Quantum Computation
P. Shor·Aug 21, 2022
I recount some of my memories of the early development of quantum computation, including the discovery of the factoring algorithm, of error correcting codes, and of fault tolerance.
Iterative-Free Quantum Approximate Optimization Algorithm Using Neural Networks
Ohad Amosy, Tamuz Danzig, E. Porat +2 more·Aug 21, 2022
The quantum approximate optimization algorithm (QAOA) is a leading iterative variational quantum algorithm for heuris-tically solving combinatorial optimization problems. A large portion of the computational effort in QAOA is spent by the optimization...
Detection and evaluation of abnormal user behavior based on quantum generation adversarial network
Minghua Pan, Bin Wang, Xiaoling Tao +3 more·Aug 21, 2022
Quantum computing holds tremendous potential for processing high-dimensional data, capitalizing on the unique capabilities of superposition and parallelism within quantum states. As we navigate the noisy intermediate-scale quantum (NISQ) era, the exp...
Challenges in the Use of Quantum Computing Hardware-Efficient Ansätze in Electronic Structure Theory.
Ruhee D'Cunha, T. Crawford, M. Motta +1 more·Aug 21, 2022
Advances in quantum computation for electronic structure, and particularly heuristic quantum algorithms, create an ongoing need to characterize the performance and limitations of these methods. Here we discuss some potential pitfalls connected with t...
A hybrid classical-quantum algorithm for digital image processing
Alok Shukla, P. Vedula·Aug 20, 2022
A hybrid classical-quantum approach for evaluation of multi-dimensional Walsh–Hadamard transforms and its applications to quantum image processing are proposed. In this approach, multi-dimensional Walsh–Hadamard transforms are obtained using quantum ...
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...
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...
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, ...