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Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Dynamical photon–photon interaction mediated by a quantum emitter
H. Le Jeannic, Alexey Tiranov, J. Carolan +11 more·Dec 13, 2021
Single photons role in the development of quantum science and technology. They can carry quantum information over extended distances to act as the backbone of a future quantum internet1 and can be manipulated in advanced photonic circuits, enabling s...
3+1 Dimension Schwinger Pair Production with Quantum Computers
Bin Xu, W. Xue·Dec 13, 2021
Real-time quantum simulation of quantum field theory in (3+1)D requires large quantum computing resources. With a few-qubit quantum computer, we develop a novel algorithm and experimentally study the Schwinger effect, the electron-positron pair produ...
An Optimized Quantum Implementation of ISD on Scalable Quantum Resources
Andre Esser, Sergi Ramos-Calderer, E. Bellini +2 more·Dec 12, 2021
The security of code based constructions is usually assessed by Information Set Decoding (ISD) algorithms. In the quantum setting, amplitude amplification yields an asymptotic square root gain over the classical analogue. However, it is still unclear...
Quantum Kernels for Real-World Predictions Based on Electronic Health Records
Z. Krunic, Frederik F. Flöther, G. Seegan +2 more·Dec 12, 2021
Research on near-term quantum machine learning has explored how classical machine learning algorithms endowed with access to quantum kernels (similarity measures) can outperform their purely classical counterparts. Although theoretical work has shown...
A Structured Method for Compilation of QAOA Circuits in Quantum Computing
Yuwei Jin, L. Fong, Yan-Hao Chen +5 more·Dec 12, 2021
Quantum Approximation Optimization Algorithm (QAOA) is a highly advocated variational algorithm for solving the combinatorial optimization problem. One critical feature in the quantum circuit of QAOA algorithm is that it consists of two-qubit operato...
Error statistics and scalability of quantum error mitigation formulas
Dayue Qin, Yanzhu Chen, Ying Li·Dec 12, 2021
Quantum computing promises advantages over classical computing in many problems. Nevertheless, noise in quantum devices prevents most quantum algorithms from achieving the quantum advantage. Quantum error mitigation provides a variety of protocols to...
Coherent effects contribution to a fast gate fidelity in ion quantum computer
P. Sidorov, M. Aksenov, I. Zalivako +5 more·Dec 12, 2021
Trapped ions are one of the most promising platforms for quantum computing due to the longest qubit coherence times and the highest gate fidelities. However, scaling the number of ions (qubits) in a linear Coulomb crystal is the key difficulty on the...
Quantum signal processing for simulating cold plasma waves
I. Novikau, E. Startsev, I. Dodin·Dec 11, 2021
Numerical modeling of radio-frequency waves in plasma with sufficiently high spatial and temporal resolution remains challenging even with modern computers. However, such simulations can be sped up using quantum computers in the future. Here, we propo...
SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits
Eyal Rozenberg, Aviv Karnieli, O. Yesharim +5 more·Dec 11, 2021
Spontaneous parametric down-conversion in quantum optics is an invaluable resource for the realization of high-dimensional qudits with spatial modes of light. One of the main open challenges is how to directly generate a desirable qudit state in the ...
Q-means using variational quantum feature embedding
Arvind S. Menon, Nikaash Puri·Dec 11, 2021
This paper proposes a hybrid quantum-classical algorithm that learns a suitable quantum feature map that separates unlabelled data that is originally non linearly separable in the classical space using a Variational quantum feature map and q-means as...
Dissipative quantum generative adversarial networks
Kerstin Beer, Gabriel Muller·Dec 11, 2021
Noisy intermediate-scale quantum (NISQ) devices build the first generation of quantum computers. Quantum neural networks (QNNs) gained high interest as one of the few suitable quantum algorithms to run on these NISQ devices. Most of the QNNs exploit ...
Quantum Gaussian filter for exploring ground-state properties
Mingjun He, Dan-Bo Zhang, Z. D. Wang·Dec 11, 2021
Filter methods realize a projection from a superposed quantum state onto a target state, which can be efficient if two states have sufficient overlap. Here we propose a quantum Gaussian filter (QGF) with the filter operator being a Gaussian function ...
Inverse-coefficient black-box quantum state preparation
Shengbin Wang, Zhimin Wang, Runhong He +8 more·Dec 11, 2021
Black-box quantum state preparation is a fundamental building block for many higher-level quantum algorithms. The basic task of black-box state preparation is to transduce the data encoded as computational basis of quantum state into the amplitude. I...
VAQEM: A Variational Approach to Quantum Error Mitigation
Gokul Subramanian Ravi, Kaitlin N. Smith, P. Gokhale +4 more·Dec 10, 2021
Variational Quantum Algorithms (VQA) are one of the most promising candidates for near-term quantum advantage. Traditionally, these algorithms are parameterized by rotational gate angles whose values are tuned over iterative execution on quantum mach...
Contour Integral-based Quantum Algorithm for Estimating Matrix Eigenvalue Density
Y. Futamura, Xiucai Ye, T. Sakurai·Dec 10, 2021
The eigenvalue density of a matrix plays an important role in various types of scientific computing such as electronic-structure calculations. In this paper, we propose a quantum algorithm for computing the eigenvalue density in a given interval. Our...
Identification of Different Types of High-Frequency Defects in Superconducting Qubits
L. Abdurakhimov, I. Mahboob, H. Toida +3 more·Dec 10, 2021
Parasitic two-level-system (TLS) defects are one of the major factors limiting the coherence times of superconducting qubits. Although there has been significant progress in characterizing basic parameters of TLS defects, exact mechanisms of interacti...
Quantum Architecture Search via Continual Reinforcement Learning
Esther Ye, Samuel Yen-Chi Chen·Dec 10, 2021
Quantum computing has promised significant improvement in solving difficult computational tasks over classical computers. Designing quantum circuits for practical use, however, is not a trivial objective and requires expert-level knowledge. To aid th...
Hybrid quantum-classical multi-cut Benders approach with a power system application
N. Paterakis·Dec 10, 2021
Leveraging the current generation of quantum devices to solve optimization problems of practical interest necessitates the development of hybrid quantum-classical (HQC) solution approaches. In this paper, a multi-cut Benders decomposition (BD) approa...
Mapping the metal-insulator phase diagram by algebraically fast-forwarding dynamics on a cloud quantum computer
Thomas Steckmann, Trevor Keen, Efekan Kökcü +3 more·Dec 10, 2021
Dynamical mean-field theory (DMFT) maps the local Green's function of the Hubbard model to that of the Anderson impurity model and thus gives an approximate solution of the Hubbard model from the solution of simpler quantum impurity model. Quantum an...
Dispersive qubit readout with machine learning
E. Rinaldi, R. D. Candia, S. Felicetti +1 more·Dec 10, 2021
Open quantum systems can undergo dissipative phase transitions, and their critical behavior can be exploited in sensing applications. For example, it can be used to enhance the fidelity of superconducting qubit readout measurements, a central problem...