Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Snowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Research
T. Humble, Andrea Delgado, R. Pooser +23 more·Mar 14, 2022
Quantum computing offers a new paradigm for advancing high-energy physics research by enabling novel methods for representing and reasoning about fundamental quantum mechanical phenomena. Realizing these ideals will require the development of novel c...
Comparative study of adaptive variational quantum eigensolvers for multi-orbital impurity models
A. Mukherjee, Noah F. Berthusen, João C. Getelina +2 more·Mar 13, 2022
Hybrid quantum-classical embedding methods for correlated materials simulations provide a path towards potential quantum advantage. However, the required quantum resources arising from the multi-band nature of d and f electron materials remain largel...
Resource Allocation in Quantum Networks for Distributed Quantum Computing
Claudio Cicconetti, M. Conti, A. Passarella·Mar 11, 2022
The evolution of quantum computing technologies has been advancing at a steady pace in the recent years, and the current trend suggests that it will become available at scale for commercial purposes in the near future. The acceleration can be boosted...
Calculating the ground-state energy of benzene under spatial deformations with noisy quantum computing
Wassil Sennane, Jean‐Philip Piquemal, M. Rančić·Mar 10, 2022
In this manuscript, we calculate the ground state energy of benzene under spatial deformations by using the variational quantum eigensolver (VQE). The primary goal of the study is estimating the feasibility of using quantum computing ansatze on near-...
Circuit connectivity boosts by quantum-classical-quantum interfaces
R. Wiersema, L. Guerini, J. Carrasquilla +1 more·Mar 9, 2022
High-connectivity circuits are a major roadblock for current quantum hardware. We propose a hybrid classical-quantum algorithm to simulate such circuits without swap-gate ladders. As main technical tool, we introduce quantum-classical-quantum interfa...
Self-testing randomness from a nuclear spin system
Xing Chen, Minsik Kwon, V. Vorobyov +2 more·Mar 9, 2022
Randomness is a very important resource for cryptography, algorithms, and scientific simulations. Since all classical processes are considered to be intrinsically deterministic, we must build quantum random number generators which utilize quantum pro...
Quantifying Grover speed-ups beyond asymptotic analysis
Chris Cade, Marten Folkertsma, I. Niesen +1 more·Mar 9, 2022
Run-times of quantum algorithms are often studied via an asymptotic, worst-case analysis. Whilst useful, such a comparison can often fall short: it is not uncommon for algorithms with a large worst-case run-time to end up performing well on instances...
Measurement-induced entanglement phase transition on a superconducting quantum processor with mid-circuit readout
Jin Ming Koh, Shi-Ning Sun, M. Motta +1 more·Mar 8, 2022
Quantum many-body systems subjected to unitary evolution with the addition of interspersed measurements exhibit a variety of dynamical phases that do not occur under pure unitary evolution. However, these systems remain challenging to investigate on ...
Quantum algorithm for neural network enhanced multi-class parallel classification
Anqi Zhang, Xiaoyun He, Sheng-mei Zhao·Mar 8, 2022
Using the properties of quantum superposition, we propose a quantum classification algorithm to efficiently perform multi-class classification tasks, where the training data are loaded into parameterized operators which are applied to the basis of th...
Quantum spectral clustering algorithm for unsupervised learning
Qing Li, Yuhan Huang, Shan Jin +2 more·Mar 7, 2022
Clustering is one of the most crucial problems in unsupervised learning, and the well-known k-means algorithm can be implemented on a quantum computer with a significant speedup. However, for the clustering problems that cannot be solved using the k-...
A highly efficient tensor network algorithm for multi-asset Fourier options pricing
M. Kastoryano, Nicola Pancotti·Mar 5, 2022
Risk assessment and in particular derivatives pricing is one of the core areas in computational finance and accounts for a sizeable fraction of the global computing resources of the financial industry. We outline a quantum-inspired algorithm for mult...
Surviving The Barren Plateau in Variational Quantum Circuits with Bayesian Learning Initialization
A. Rad, Alireza Seif, N. Linke·Mar 4, 2022
Variational quantum-classical hybrid algorithms are seen as a promising strategy for solving practical problems on quantum computers in the near term. While this approach reduces the number of qubits and operations required from the quantum machine, ...
Quantum algorithms for grid-based variational time evolution
Pauline J. Ollitrault, Sven Jandura, Alexander Miessen +4 more·Mar 4, 2022
The simulation of quantum dynamics calls for quantum algorithms working in first quantized grid encodings. Here, we propose a variational quantum algorithm for performing quantum dynamics in first quantization. In addition to the usual reduction in c...
Rydberg Wire Gates for Universal Quantum Computation
Seokho Jeong, Xiao-Feng Shi, Minhyuk Kim +1 more·Mar 3, 2022
Rydberg atom arrays offer flexible geometries of strongly interacting neutral atoms, which are useful for many quantum applications such as quantum simulation and quantum computation. Here, we consider an all-optical gate-based quantum computing sche...
Solving nuclear structure problems with the adaptive variational quantum algorithm
A. Romero, J. Engel, Ho Lun Tang +1 more·Mar 3, 2022
We use the Lipkin-Meshkov-Glick (LMG) model and the valence-space nuclear shell model to examine the likely performance of variational quantum eigensolvers in nuclear-structure theory. The LMG model exhibits both a phase transition and spontaneous sy...
Quantum random walks in coupled photonic ring resonators
R. Adão, Manuel Cano-Garc'ia, J. Nieder +1 more·Mar 3, 2022
Quantum random walks use interference for faster state space exploration, which can be used for algorithmic purposes. Photonic technologies provide a natural platform for many recent experimental demonstrations. Here we analyze quantum random walks i...
A Scalable Approach to Quantum Simulation via Projection-based Embedding
Alexis Ralli, Mike Williams, P. Coveney·Mar 2, 2022
Owing to the computational complexity of electronic structure algorithms running on classical digital computers, the range of molecular systems amenable to simulation remains tightly circumscribed even after many decades of work. Quantum computers ho...
Quantum Image Processing
Alok Anand, M. Lyu, P. S. Baweja +1 more·Mar 1, 2022
Image processing is popular in our daily life because of the need to extract essential information from our 3D world, including a variety of applications in widely separated fields like bio-medicine, economics, entertainment, and industry. The nature...
Simulation Paths for Quantum Circuit Simulation With Decision Diagrams What to Learn From Tensor Networks, and What Not
Lukas Burgholzer, Alexander Ploier, R. Wille·Mar 1, 2022
Simulating quantum circuits on classical computers is a notoriously hard, yet increasingly important task for the development and testing of quantum algorithms. In order to alleviate this inherent complexity, efficient data structures and methods, su...
Influence in completely bounded block-multilinear forms and classical simulation of quantum algorithms
N. Bansal, Makrand Sinha, R. D. Wolf·Mar 1, 2022
The Aaronson-Ambainis conjecture (Theory of Computing '14) says that every low-degree bounded polynomial on the Boolean hypercube has an influential variable. This conjecture, if true, would imply that the acceptance probability of every d-query quan...