Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Universal quantum circuits for quantum chemistry
J. Arrazola, O. D. Matteo, N. Quesada +3 more·Jun 25, 2021
Universal gate sets for quantum computing have been known for decades, yet no universal gate set has been proposed for particle-conserving unitaries, which are the operations of interest in quantum chemistry. In this work, we show that controlled sin...
Training Saturation in Layerwise Quantum Approximate Optimisation
E. Campos, D. Rabinovich, V. Akshay +1 more·Jun 25, 2021
Quantum Approximate Optimisation (QAOA) is the most studied gate based variational quantum algorithm today. We train QAOA one layer at a time to maximize overlap with an $n$ qubit target state. Doing so we discovered that such training always saturat...
Experimental Quantum Embedding for Machine Learning
I. Gianani, Ivana Mastroserio, L. Buffoni +6 more·Jun 25, 2021
The classification of big data usually requires a mapping onto new data clusters which can then be processed by machine learning algorithms by means of more efficient and feasible linear separators. Recently, Lloyd et al. have advanced the proposal t...
Variational quantum algorithm for molecular geometry optimization
A. Delgado, J. Arrazola, S. Jahangiri +4 more·Jun 25, 2021
Classical algorithms for predicting the equilibrium geometry of strongly correlated molecules require expensive wave function methods that become impractical already for few-atom systems. In this work, we introduce a variational quantum algorithm for...
Quantum Data Compression and Quantum Cross Entropy
Shangnan Zhou·Jun 25, 2021
The emerging field of quantum machine learning has the potential of revolutionizing our perspectives of quantum computing and artificial intelligence. In the predominantly empirical realm of quantum machine learning, a theoretical void persists. This...
Threshold-Based Quantum Optimization
John K. Golden, Andreas Bärtschi, D. O’Malley +1 more·Jun 25, 2021
We propose and study Th-QAOA (pronounced Threshold QAOA), a variation of the Quantum Alternating Operator Ansatz (QAOA) that replaces the standard phase separator operator, which encodes the objective function, with a threshold function that returns ...
Chiral quantum network with giant atoms
Xin Wang, Hong-rong Li·Jun 24, 2021
In superconducting quantum circuits (SQCs), chiral routing quantum information is often realized with the ferrite circulators, which are usually bulky, lossy and require strong magnetic fields. To overcome those problems, we propose a novel method to...
Accelerating variational quantum algorithms with multiple quantum processors
Yuxuan Du, Yan Qian, D. Tao·Jun 24, 2021
Variational quantum algorithms (VQAs) have the potential of utilizing near-term quantum machines to gain certain computational advantages over classical methods. Nevertheless, modern VQAs suffer from cumbersome computational overhead, hampered by the...
Polynomial unconstrained binary optimisation inspired by optical simulation
D. A. Chermoshentsev, A. O. Malyshev, Mert Esencan +5 more·Jun 24, 2021
We propose an algorithm inspired by optical coherent Ising machines to solve the problem of polynomial unconstrained binary optimization (PUBO). We benchmark the proposed algorithm against existing PUBO algorithms on the extended Sherrington-Kirkpatr...
Variational Quantum Optimization with Multi-Basis Encodings
T. Patti, Jean Kossaifi, Anima Anandkumar +1 more·Jun 24, 2021
Despite extensive research efforts, few quantum algorithms for classical optimization demonstrate realizable quantum advantage. The utility of many quantum algorithms is limited by high requisite circuit depth and nonconvex optimization landscapes....
Efficient quantum simulation of open quantum system dynamics on noisy quantum computers
Shi-Ning Sun, Li-Chai Shih, Yuan‐Chung Cheng·Jun 24, 2021
Quantum simulation represents the most promising quantum application to demonstrate quantum advantage on near-term noisy intermediate-scale quantum (NISQ) computers, yet available quantum simulation algorithms are prone to errors and thus difficult t...
Overcoming Barriers to Scalability in Variational Quantum Monte Carlo
Tianchen Zhao, Saibal De, Brian Chen +2 more·Jun 24, 2021
The variational quantum Monte Carlo (VQMC) method received significant attention in the recent past because of its ability to overcome the curse of dimensionality inherent in many-body quantum systems. Close parallels exist between VQMC and the emerg...
Quantum Simulation of Open Quantum Systems Using a Unitary Decomposition of Operators.
A. Schlimgen, Kade Head-Marsden, LeeAnn M. Sager +2 more·Jun 23, 2021
Electron transport in realistic physical and chemical systems often involves the nontrivial exchange of energy with a large environment, requiring the definition and treatment of open quantum systems. Because the time evolution of an open quantum sys...
Circuit complexity near critical points
Uday Sood, M. Kruczenski·Jun 23, 2021
We consider the Bose–Hubbard model in two and three spatial dimensions and numerically compute the quantum circuit complexity of the ground state in the Mott insulator and superfluid phases using a mean field approximation with additional quadratic f...
Provably efficient machine learning for quantum many-body problems
Hsin-Yuan Huang, R. Kueng, G. Torlai +2 more·Jun 23, 2021
Classical machine learning (ML) provides a potentially powerful approach to solving challenging quantum many-body problems in physics and chemistry. However, the advantages of ML over traditional methods have not been firmly established. In this work...
Learning Quantum Circuits of Some T Gates
C. Lai, Hao-Chung Cheng·Jun 23, 2021
In this paper, we study the problem of learning an unknown quantum circuit of a certain structure. If the unknown target is an <inline-formula> <tex-math notation="LaTeX">$n$ </tex-math></inline-formula>-qubit Clifford circuit, we devise an efficient...
Detailed Account of Complexity for Implementation of Some Gate-Based Quantum Algorithms
Fernando R. Cardoso, D. Y. Akamatsu, V. L. C. Júnior +3 more·Jun 23, 2021
In this work, we are interested in the detailed analysis of complexity aspects of both time and space that arises from the implementation of a quantum algorithm on a quantum based hardware. In particular, some steps of the implementation, as state pr...
Universal control of quantum processes using sector-preserving channels
Augustin Vanrietvelde, G. Chiribella·Jun 23, 2021
No quantum circuit can turn a completely unknown unitary gate into its coherently controlled version. Yet, coherent control of unknown gates has been realised in experiments, making use of a different type of initial resources. Here, we formalise the...
Quantum Error Correction with the Gottesman-Kitaev-Preskill Code
A. Grimsmo, S. Puri·Jun 23, 2021
The Gottesman-Kitaev-Preskill (GKP) code was proposed in 2001 by Daniel Gottesman, Alexei Kitaev, and John Preskill as a way to encode a qubit in an oscillator. The GKP codewords are coherent superpositions of periodically displaced squeezed vacuum s...
Experimental Quantum Computing to Solve Network DC Power Flow Problem
R. Eskandarpour, Kumar Ghosh, A. Khodaei +1 more·Jun 22, 2021
Practical quantum computing applications to power grids are nonexistent at the moment. This paper investigates how a fundamental grid problem, namely DC power flow, can be solved using quantum computing. Power flow is the most widely used power syste...