Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quanto: optimizing quantum circuits with automatic generation of circuit identities
Jessica Pointing, Oded Padon, Zhihao Jia +4 more·Nov 22, 2021
Existing quantum compilers focus on mapping a logical quantum circuit to a quantum device and its native quantum gates. Only simple circuit identities are used to optimize the quantum circuit during the compilation process. This approach misses more ...
Dimensional Expressivity Analysis, best-approximation errors, and automated design of parametric quantum circuits
L. Funcke, T. Hartung, K. Jansen +3 more·Nov 22, 2021
The design of parametric quantum circuits (PQCs) for efficient use in variational quantum simulations (VQS) is subject to two competing factors. On one hand, the set of states that can be generated by the PQC has to be large enough to contain the sol...
Flying electron spin control gates
Paul L. J. Helgers, J. Stotz, H. Sanada +3 more·Nov 21, 2021
The control of "flying” (or moving) spin qubits is an important functionality for the manipulation and exchange of quantum information between remote locations on a chip. Typically, gates based on electric or magnetic fields provide the necessary per...
Monolithic Three-Dimensional Tuning of an Atomically Defined Silicon Tunnel Junction.
M. Donnelly, J. Keizer, Y. Chung +1 more·Nov 19, 2021
A requirement for quantum information processors is the in situ tunability of the tunnel rates and the exchange interaction energy within the device. The large energy level separation for atom qubits in silicon is well suited for qubit operation but ...
Differentiable quantum computational chemistry with PennyLane
J. Arrazola, S. Jahangiri, A. Delgado +15 more·Nov 18, 2021
This work describes the theoretical foundation for all quantum chemistry functionality in PennyLane, a quantum computing software library specializing in quantum differentiable programming. We provide an overview of fundamental concepts in quantum ch...
Robust quantum-network memory based on spin qubits in isotopically engineered diamond
C. Bradley, S. D. Bone, P. Møller +9 more·Nov 18, 2021
Quantum networks can enable quantum communication and modular quantum computation. A powerful approach is to use multi-qubit nodes that provide quantum memory and computational power. Nuclear spins associated with defects in diamond are promising qub...
Exploring Airline Gate-Scheduling Optimization Using Quantum Computers
Hamed Mohammadbagherpoor, P. Dreher, Mohannad Ibrahim +4 more·Nov 18, 2021
This paper investigates the application of quantum computing technology to airline gate-scheduling quadratic assignment problems (QAP). We explore the quantum computing hardware architecture and software environment required for porting classical ver...
A Variation-Aware Quantum Circuit Mapping Approach Based on Multi-Agent Cooperation
P. Zhu, Weiping Ding, Lihuan Wei +3 more·Nov 17, 2021
Quantum circuit mapping is an essential process required by executing quantum circuits using a noisy intermediate-scale quantum (NISQ) device. Since qubits and quantum gates of a NISQ device are error-prone and variable in quality, it is crucial to c...
Robust Preparation of Wigner-Negative States with Optimized SNAP-Displacement Sequences
M. Kudra, Mikael Kervinen, Ingrid Strandberg +10 more·Nov 15, 2021
Hosting non-classical states of light in three-dimensional microwave cavities has emerged as a promising paradigm for continuous-variable quantum information processing. Here we experimentally demonstrate high-fidelity generation of a range of Wigner...
Simulation of Quantum Many-Body Dynamics with Tensor Processing Units: Floquet Prethermalization
A. Morningstar, M. Hauru, J. Beall +4 more·Nov 15, 2021
Tensor Processing Units (TPUs) are specialized hardware accelerators developed by Google to support large-scale machine-learning tasks, but they can also be leveraged to accelerate and scale other linear-algebra-intensive computations. In this paper ...
Quantum algorithms for approximate function loading
Gabriel Marin-Sanchez, Javier Gonzalez-Conde, M. Sanz·Nov 15, 2021
Loading classical data into quantum computers represents an essential stage in many relevant quantum algorithms, especially in the field of quantum machine learning. Therefore, the inefficiency of this loading process means a major bottleneck for the...
Efficient multi-qubit subspace rotations via topological quantum walks
X. Gu, J. Allcock, S. An +1 more·Nov 12, 2021
The rotation of subspaces by a chosen angle is a fundamental quantum computing operation, with applications in error correction and quantum algorithms such as the Quantum Approximate Optimization Algorithm, the Variational Quantum Eigensolver and the...
Quantum error correction meets continuous symmetries: fundamental trade-offs and case studies
Zi-Wen Liu, Sisi Zhou·Nov 11, 2021
We systematically study the fundamental competition between quantum error correction (QEC) and continuous symmetries, two key notions in quantum information and physics, in a quantitative manner. Three meaningful measures of approximate symmetries in...
Approximate symmetries and quantum error correction
Zi-Wen Liu, Sisi Zhou·Nov 11, 2021
Quantum error correction (QEC) is a key concept in quantum computation as well as many areas of physics. There are fundamental tensions between continuous symmetries and QEC. One vital situation is unfolded by the Eastin–Knill theorem, which forbids ...
Quantum amplitude damping for solving homogeneous linear differential equations: A noninterferometric algorithm
J. Romeiro, F. Brito·Nov 10, 2021
In contexts where relevant problems can easily attain configuration spaces of enormous sizes, solving Linear Differential Equations (LDEs) can become a hard achievement for classical computers; on the other hand, the rise of quantum hardware can conc...
Simulating time evolution with fully optimized single-qubit gates on parametrized quantum circuits
Kaito Wada, Rudy Raymond, Yu-ya Ohnishi +4 more·Nov 10, 2021
We propose a novel method to sequentially optimize arbitrary single-qubit gates in parameterized quantum circuits for simulating real and imaginary time evolution. The method utilizes full degrees of freedom of single-qubit gates and therefore can po...
Quadratic improvement on accuracy of approximating pure quantum states and unitary gates by probabilistic implementation
Seiseki Akibue, G. Kato, S. Tani·Nov 10, 2021
Pure quantum states are often approximately encoded as classical bit strings such as those representing probability amplitudes and those describing circuits that generate the quantum states. The crucial quantity is the minimum length of classical bit...
Single shot i-Toffoli gate in dispersively coupled superconducting qubits
Aneirin J. Baker, Gerhard Huber, N. J. Glaser +4 more·Nov 10, 2021
Quantum algorithms often benefit from the ability to execute multi-qubit (>2) gates. To date such multi-qubit gates are typically decomposed into single- and two-qubit gates, particularly in superconducting qubit architectures. The ability to perform...
Multiqubit entanglement and quantum phase gates with epsilon-near-zero plasmonic waveguides
Ying Li, C. Argyropoulos·Nov 9, 2021
Multiqubit entanglement is extremely important to perform truly secure quantum optical communication and computing operations. However, the efficient generation of long-range entanglement over extended time periods between multiple qubits randomly di...
Generalization in quantum machine learning from few training data
Matthias C. Caro, Hsin-Yuan Huang, M. Cerezo +4 more·Nov 9, 2021
Modern quantum machine learning (QML) methods involve variationally optimizing a parameterized quantum circuit on a training data set, and subsequently making predictions on a testing data set (i.e., generalizing). In this work, we provide a comprehe...