Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Transferring quantum information between a quantum system with limited control and a quantum computer
Ryosuke Sakai, A. Soeda, M. Murao·Oct 12, 2021
We consider a hybrid quantum system consisting of a qubit system continuously evolving according to its fixed own Hamiltonian and a quantum computer. The qubit system couples to a quantum computer through a fixed interaction Hamiltonian, which can on...
Variational approaches to constructing the many-body nuclear ground state for quantum computing
I. Stetcu, A. Baroni, J. Carlson·Oct 12, 2021
We explore the preparation of specific nuclear states on gate-based quantum hardware using variational algorithms. Large scale classical diagonalization of the nuclear shell model have reached sizes of $10^9 - 10^{10}$ basis states, but are still sev...
A scalable and fast artificial neural network syndrome decoder for surface codes
S. Gicev, L. Hollenberg, M. Usman·Oct 12, 2021
Surface code error correction offers a highly promising pathway to achieve scalable fault-tolerant quantum computing. When operated as stabilizer codes, surface code computations consist of a syndrome decoding step where measured stabilizer operators...
Nearly Optimal Quantum Algorithm for Generating the Ground State of a Free Quantum Field Theory
Mohsen Bagherimehrab, Y. Sanders, D. Berry +2 more·Oct 12, 2021
We devise a quasilinear quantum algorithm for generating an approximation for the ground state of a quantum field theory (QFT). Our quantum algorithm delivers a super-quadratic speedup over the state-of-the-art quantum algorithm for ground-state gene...
TFermion: A non-Clifford gate cost assessment library of quantum phase estimation algorithms for quantum chemistry
Pablo Antonio Moreno Casares, Roberto Campos, M. Martin-Delgado·Oct 12, 2021
Quantum Phase Estimation is one of the most useful quantum computing algorithms for quantum chemistry and as such, significant effort has been devoted to designing efficient implementations. In this article, we introduce TFermion, a library designed ...
New construction of nine-qubit error-correcting code
Long Huang, Xiaohua Wu·Oct 11, 2021
We report new construction of nine-qubit error-correcting code, which introduces two new nine-qubit codes and one new three-qubit code. Because both the new two nine-qubit codes have the normal logical operators, as opposed to the nine-qubit Shor cod...
Quantum solutions to possible challenges of Blockchain technology
Nivedita Dey, Mrityunjay Ghosh, Amlan Chakrabarti·Oct 11, 2021
Technological advancements of Blockchain and other Distributed Ledger Techniques (DLTs) promise to provide significant advantages to applications seeking transparency, redundancy, and accountability. Actual adoption of these emerging technologies req...
QAOAKit: A Toolkit for Reproducible Study, Application, and Verification of the QAOA
R. Shaydulin, Kunal Marwaha, J. Wurtz +1 more·Oct 11, 2021
Understanding the best known parameters, performance, and systematic behavior of the Quantum Approximate Optimization Algorithm (QAOA) remain open research questions, even as the algorithm gains popularity. We introduce QAOAKit, a Python toolkit for ...
On the energy landscape of symmetric quantum signal processing
Jiasu Wang, Yulong Dong, Lin Lin·Oct 11, 2021
Symmetric quantum signal processing provides a parameterized representation of a real polynomial, which can be translated into an efficient quantum circuit for performing a wide range of computational tasks on quantum computers. For a given polynomia...
Learnability of the output distributions of local quantum circuits
M. Hinsche, M. Ioannou, A. Nietner +6 more·Oct 11, 2021
There is currently a large interest in understanding the potential advantages quantum devices can offer for probabilistic modelling. In this work we investigate, within two different oracle models, the probably approximately correct (PAC) learnabilit...
Controlling the dynamics of ultracold polar molecules in optical tweezers
Marta Sroczy'nska, Anna Dawid, M. Tomza +3 more·Oct 11, 2021
Ultracold molecules trapped in optical tweezers show great promise for the implementation of quantum technologies and precision measurements. We study a prototypical scenario where two interacting polar molecules placed in separate traps are controll...
Dual-Element, Two-Dimensional Atom Array with Continuous-Mode Operation
Kevin Singh, Shraddha Anand, A. Pocklington +2 more·Oct 11, 2021
Quantum processing architectures that include multiple qubit modalities offer compelling strategies for high-fidelity operations and readout, quantum error correction, and a path for scaling to large system sizes. Such hybrid architectures have been ...
Quantum error correction with higher Gottesman-Kitaev-Preskill codes: Minimal measurements and linear optics
Frank Schmidt, P. Loock·Oct 11, 2021
We propose two schemes to obtain Gottesman-Kitaev-Preskill (GKP) error syndromes by means of linear optical operations, homodyne measurements and GKP ancillae. This includes showing that for a concatenation of GKP codes with a $[n,k,d]$ stabilizer co...
Hard instance learning for quantum adiabatic prime factorization
Jian Lin, Zhengfeng Zhang, Junping Zhang +1 more·Oct 10, 2021
Prime factorization is a difficult problem with classical computing, whose exponential hardness is the foundation of Rivest-Shamir-Adleman (RSA) cryptography. With programmable quantum devices, adiabatic quantum computing has been proposed as a plaus...
Kolmogorov complexity of unitary transformations in quantum computing
A. Kaltchenko·Oct 10, 2021
We introduce a notion of Kolmogorov complexity of unitary transformation, which can (roughly) be understood as the least possible amount of information required to fully describe and reconstruct a given finite unitary transformation. In the context o...
Does Preprocessing Help Training Over-parameterized Neural Networks?
Zhao Song, Shuo Yang, Ruizhe Zhang·Oct 9, 2021
Deep neural networks have achieved impressive performance in many areas. Designing a fast and provable method for training neural networks is a fundamental question in machine learning. The classical training method requires paying $\Omega(mnd)$ cost...
Application of quantum computing to a linear non-Gaussian acyclic model for novel medical knowledge discovery
H. Kawaguchi·Oct 9, 2021
Recently, the utilization of real-world medical data collected from clinical sites has been attracting attention. Especially as the number of variables in real-world medical data increases, causal discovery becomes more and more effective. On the oth...
Depth Optimized Ansatz Circuit in QAOA for Max-Cut
Ritajit Majumdar, Debasmita Bhoumik, Dhiraj Madan +3 more·Oct 9, 2021
While a Quantum Approximate Optimization Algorithm (QAOA) is intended to provide a quantum advantage in finding approximate solutions to combinatorial optimization problems, noise in the system is a hurdle in exploiting its full potential. Several er...
Experimentally accessible nonseparability criteria for multipartite-entanglement-structure detection
Guillermo Garc'ia-P'erez, Oskari Kerppo, M. Rossi +1 more·Oct 8, 2021
The description of the complex separability structure of quantum states in terms of partially ordered sets has been recently put forward. In this work, we address the question of how to efficiently determine these structures for unknown states. We pr...
Chaos in coupled Kerr-nonlinear parametric oscillators
Hayato Goto, T. Kanao·Oct 8, 2021
A Kerr-nonlinear parametric oscillator (KPO) can generate a quantum superposition of two oscillating states, known as a Schr\"{o}dinger cat state, via quantum adiabatic evolution, and can be used as a qubit for gate-based quantum computing and quantu...