Papers
Live trends in quantum computing research, updated daily from arXiv.
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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-...
Improved Decoding of Circuit Noise and Fragile Boundaries of Tailored Surface Codes
O. Higgott, T. Bohdanowicz, Aleksander Kubica +2 more·Mar 9, 2022
Realizing the full potential of quantum computation requires quantum error correction (QEC), with most recent breakthrough demonstrations of QEC using the surface code. QEC codes use multiple noisy physical qubits to encode information in fewer logic...
Information recoverability of noisy quantum states
Xuanqiang Zhao, Benchi Zhao, Zihan Xia +1 more·Mar 9, 2022
Extracting classical information from quantum systems is an essential step of many quantum algorithms. However, this information could be corrupted as the systems are prone to quantum noises, and its distortion under quantum dynamics has not been ade...
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...
Adaptive quantum codes: constructions, applications and fault tolerance
Akshaya Jayashankar·Mar 7, 2022
A major obstacle towards realizing a practical quantum computer is the noise that arises due to system-environment interactions. While it is very well known that quantum error correction (QEC) provides a way to protect against errors that arise due t...
Differential Privacy Amplification in Quantum and Quantum-inspired Algorithms
Armando Angrisani, Mina Doosti, E. Kashefi·Mar 7, 2022
Differential privacy provides a theoretical framework for processing a dataset about $n$ users, in a way that the output reveals a minimal information about any single user. Such notion of privacy is usually ensured by noise-adding mechanisms and amp...
Quantum Differential Privacy in the Local Model
Armando Angrisani, E. Kashefi·Mar 7, 2022
Differential privacy provides a robust framework for protecting sensitive data, while maintaining its utility for computation. In essence, a differentially private algorithm takes as input the data of multiple parties, and returns an output disclosin...
Quantum approximate optimization algorithm for Bayesian network structure learning
Vicente P. Soloviev, C. Bielza, P. Larrañaga·Mar 4, 2022
Bayesian network structure learning is an NP-hard problem that has been faced by a number of traditional approaches in recent decades. Currently, quantum technologies offer a wide range of advantages that can be exploited to solve optimization tasks ...
Quantum Algorithms for Estimating Quantum Entropies
Youle Wang, Benchi Zhao, Xin Wang·Mar 4, 2022
The von Neumann and quantum R\'enyi entropies characterize fundamental properties of quantum systems and lead to theoretical and practical applications in many fields. Quantum algorithms for estimating quantum entropies, using a quantum query model t...
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...
Simulating excited states of the Lipkin model on a quantum computer
Manqoba Q. Hlatshwayo, Yinu Zhang, H. Wibowo +3 more·Mar 3, 2022
We simulate the excited states of the Lipkin model using the recently proposed Quantum Equation of Motion (qEOM) method. The qEOM generalizes the EOM on classical computers and gives access to collective excitations based on quasi-boson operators $\h...
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 capacities of transducers
Chiao-Hsuan Wang, Fangxin Li, Liang Jiang·Feb 28, 2022
High-performance quantum transducers, which faithfully convert quantum information between disparate physical carriers, are essential in quantum science and technology. Different figures of merit, including efficiency, bandwidth, and added noise, are...
Robust resource-efficient quantum variational ansatz through an evolutionary algorithm
Yuhan Huang, Qing Li, Xiaokai Hou +4 more·Feb 28, 2022
Variational quantum algorithms (VQAs) are promising methods to demonstrate quantum advantage on near-term devices as the required resources are divided between a quantum simulator and a classical optimizer. As such, designing a VQA which is resource-...
QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning
Hanrui Wang, Zi-Chen Li, Jiaqi Gu +3 more·Feb 26, 2022
Parameterized Quantum Circuits (PQC) are drawing increasing research interest thanks to its potential to achieve quantum advantages on near-term Noisy Intermediate Scale Quantum (NISQ) hardware. In order to achieve scalable PQC learning, the training...
A Modified MWPM Decoding Algorithm for Quantum Surface Codes Over Depolarizing Channels
Yaping Yuan, Chung-Chin Lu·Feb 23, 2022
A quantum surface code is a quantum topological stabilizer code whose stabilizers and qubits are geometrically related. Due to their special structures, surface codes have great potential to be implemented in large-scale quantum computing systems. In...
Simple, Reliable, and Noise-Resilient Continuous-Variable Quantum State Tomography with Convex Optimization
Ingrid Strandberg·Feb 23, 2022
Precise reconstruction of unknown quantum states from measurement data, a process commonly called quantum state tomography, is a crucial component in the development of quantum information processing technologies. Many different tomography methods hav...
Towards Quantum Gates with Wide Operating Margins
R. Epstein·Feb 21, 2022
Scaling up quantum computing hardware is hindered by the narrow operating margins of current quantum components. Here, we introduce a composite qubit and gate scheme that achieves wide margins by use of transistor-like nonlinearities to suppress the ...
Stochastic Perturbations of Tabular Features for Non-Deterministic Inference with Automunge
Nicholas J. Teague·Feb 18, 2022
Injecting gaussian noise into training features is well known to have regularization properties. This paper considers noise injections to numeric or categoric tabular features as passed to inference, which translates inference to a non-deterministic ...
Recompilation-enhanced simulation of electron–phonon dynamics on IBM quantum computers
Ben Jaderberg, A. Eisfeld, D. Jaksch +1 more·Feb 16, 2022
Simulating quantum systems is believed to be one of the first applications for which quantum computers may demonstrate a useful advantage. For many problems in physics, we are interested in studying the evolution of the electron–phonon Hamiltonian, f...