Papers
Live trends in quantum computing research, updated daily from arXiv.
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Variational quantum algorithms for local Hamiltonian problems
A. Uvarov·Aug 23, 2022
Variational quantum algorithms (VQAs) are a modern family of quantum algorithms designed to solve optimization problems using a quantum computer. Typically VQAs rely on a feedback loop between the quantum device and a classical optimization algorithm...
Q2Chemistry: A quantum computation platform for quantum chemistry
Yi Fan, Jie Liu, Xiongzhi Zeng +4 more·Aug 23, 2022
Quantum computers provide new opportunities for quantum chemistry. In this article,we present a versatile, extensible, and efficient software package, named Q2Chemistry, for developing quantum algorithms and quantum inspired classical algorithms in t...
Exponential concentration in quantum kernel methods
Supanut Thanasilp, Samson Wang, M. Cerezo +1 more·Aug 23, 2022
Kernel methods in Quantum Machine Learning (QML) have recently gained significant attention as a potential candidate for achieving a quantum advantage in data analysis. Among other attractive properties, when training a kernel-based model one is guar...
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...
Alternative approach to quantum imaginary time evolution
P. Jouzdani, Calvin W. Johnson, E. Mucciolo +1 more·Aug 22, 2022
There is increasing interest in quantum algorithms that are based on the imaginary-time evolution (ITE), a successful classical numerical approach to obtain ground states. However, most of the proposals so far require heavy post-processing computatio...
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...
Boosting quantum amplitude exponentially in variational quantum algorithms
T. Kyaw, Micheline B. Soley, B. Allen +4 more·Aug 22, 2022
We introduce a family of variational quantum algorithms, which we coin as quantum iterative power algorithms (QIPAs), and demonstrate their capabilities as applied to global-optimization numerical experiments. Specifically, we demonstrate the QIPA ba...
Distributed Quantum Machine Learning
N. Neumann, R. Wezeman·Aug 22, 2022
Quantum computers can solve specific complex tasks for which no reasonable-time classical algorithm is known. Quantum computers do however also offer inherent security of data, as measurements destroy quantum states. Using shared entangled states, mu...
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...
Hamiltonian simulation of quantum beats in radical pairs undergoing thermal relaxation on near-term quantum computers.
Meltem Tolunay, I. Liepuoniute, M. Vyushkova +1 more·Aug 22, 2022
Quantum dynamics of the radical pair mechanism is a major driving force in quantum biology, materials science, and spin chemistry. The rich quantum physical underpinnings of the mechanism are determined by a coherent oscillation (quantum beats) betwe...
Revisiting semiconductor bulk hamiltonians using quantum computers
Raphael César de Souza Pimenta, A. T. Bezerra·Aug 22, 2022
With the advent of near-term quantum computers, it is now possible to simulate solid-state properties using quantum algorithms. By an adequate description of the system's Hamiltonian, variational methods enable to fetch of the band structure and othe...
Direct manipulation of a superconducting spin qubit strongly coupled to a transmon qubit
M. Pita-Vidal, A. Bargerbos, R. vZitko +9 more·Aug 22, 2022
Spin qubits in semiconductors are a promising platform for producing highly scalable quantum computing devices. However, it is difficult to realize multiqubit interactions over extended distances. Superconducting spin qubits provide an alternative by...
Quantum Multi-Agent Meta Reinforcement Learning
Won Joon Yun, Jihong Park, Joongheon Kim·Aug 22, 2022
Although quantum supremacy is yet to come, there has recently been an increasing interest in identifying the potential of quantum machine learning (QML) in the looming era of practical quantum computing. Motivated by this, in this article we re-desig...
Benchmarking of different optimizers in the variational quantum algorithms for applications in quantum chemistry.
Harshdeep Singh, S. Majumder, Sabyashachi Mishra·Aug 22, 2022
Classical optimizers play a crucial role in determining the accuracy and convergence of variational quantum algorithms; leading algorithms use a near-term quantum computer to solve the ground state properties of molecules, simulate dynamics of differ...
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...
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...
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...
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 ...