Papers

L. Funcke, T. Hartung, K. Jansen +3 more·Jul 15, 2021

In Variational Quantum Simulations, the construction of a suitable parametric quantum circuit is subject to two counteracting effects. The number of parameters should be small for the device noise to be manageable, but also large enough for the circu...

T. Tomesh, Zain Saleem, M. Perlin +3 more·Jul 15, 2021

Scaling the size of monolithic quantum computer systems is a difficult task. As the number of qubits within a device increases, a number of factors contribute to decreases in yield and performance. To meet this challenge, distributed architectures co...

K. Yip·Jul 15, 2021

In this dissertation, we explore how quantum annealing (QA) and its applications behave in an open system setting. We give derivations and numerical recipes for effective parallel simulation methods for time-dependent open dynamics of quantum anneali...

E. Wilson, F. Mueller, Lindsay Bassman +1 more·Jul 14, 2021

Noisy Intermediate-Scale Quantum (NISQ) devices fail to produce outputs with sufficient fidelity for deep circuits with many gates today. Such devices suffer from read-out, multi-qubit gate and cross-talk noise combined with short decoherence times l...

Elijah Pelofske, John K. Golden, Andreas Bärtschi +2 more·Jul 14, 2021

Modern NISQ devices are subject to a variety of biases and sources of noise that degrade the solution quality of computations carried out on these devices. A natural question that arises in the NISQ era, is how fairly do these devices sample ground s...

Jiaxiu Han, W. Cai, Ling Hu +8 more·Jul 9, 2021

Digital quantum simulators provide a diversified tool for solving the evolution of quantum systems with complicated Hamiltonians and hold great potential for a wide range of applications. Although much attention is paid to the unitary evolution of cl...

Mikel Garcia de Andoin, J. Echanobe·Jul 8, 2021

We propose a new hybrid quantum algorithm based on the classical Ant Colony Optimization algorithm to produce approximate solutions for NP-hard problems, in particular optimization problems. First, we discuss some previously proposed Quantum Ant Colo...

N. Yoshioka, H. Hakoshima, Y. Matsuzaki +3 more·Jul 6, 2021

One of the major challenges for erroneous quantum computers is undoubtedly the control over the effect of noise. Considering the rapid growth of available quantum resources that are not fully fault tolerant, it is crucial to develop practical hardwar...

Christian D. Marciniak, T. Feldker, Ivan Pogorelov +7 more·Jul 5, 2021

Quantum sensors are an established technology that has created new opportunities for precision sensing across the breadth of science. Using entanglement for quantum enhancement will allow us to construct the next generation of sensors that can approa...

Yifeng Xiong, S. Ng, L. Hanzo·Jul 3, 2021

Quantum error mitigation (QEM) is a class of promising techniques capable of reducing the computational error of variational quantum algorithms tailored for current noisy intermediate-scale quantum computers. The recently proposed permutation-based m...

Fatemeh Tarighitabesh, Q. Hassanzada, M. Hadian +3 more·Jun 29, 2021

We propose an electromechanical scheme where the electronic degrees of freedom of boron vacancy color centers hosted by a hexagonal boron nitride (hBN) nanoribbon are coupled for quantum information processing. The mutual coupling of color centers is...

P. Boross, A. P'alyi·Jun 29, 2021

Quantum bits based on Majorana zero modes are expected to be robust against certain noise types, and hence provide a quantum computing platform that is superior to conventional qubits. This robustness is not complete though: imperfections can still l...

N. Petersson, Fortino Garcia·Jun 27, 2021

. We consider the optimal control problem of determining electromagnetic pulses for implementing logical gates in a closed quantum system, where the Hamiltonian models the dynamics of coupled superconducting qudits. The quantum state is governed by S...

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...

G. White, F. A. Pollock, L. Hollenberg +2 more·Jun 22, 2021

Characterisation protocols have so far played a central role in the development of noisy intermediate-scale quantum (NISQ) computers capable of impressive quantum feats. This trajectory is expected to continue in building the next generation of devic...

M. Song, Ilias Zadik, Joan Bruna·Jun 20, 2021

We show a simple reduction which demonstrates the cryptographic hardness of learning a single periodic neuron over isotropic Gaussian distributions in the presence of noise. More precisely, our reduction shows that any polynomial-time algorithm (not ...

Yongdan Yang, B. Lu, Ying Li·Jun 18, 2021

Quantum Monte Carlo and quantum simulation are both important tools for understanding quantum many-body systems. As a classical algorithm, quantum Monte Carlo suffers from the sign problem, preventing its application to most fermion systems and real ...

A. Gyenis, A. Di Paolo, J. Koch +3 more·Jun 18, 2021

Artificial atoms realized by superconducting circuits offer unique opportunities to store and process quantum information with high fidelity. Among them, implementations of circuits that harness intrinsic noise protection have been rapidly developed ...

G. Vinod, Anil Shaji·Jun 18, 2021

Constraint satisfiability problems, crucial to several applications, are solved on a quantum computer using Grover’s search algorithm, leading to a quadratic improvement over the classical case. The solutions are obtained with high probability for se...

H. Yamasaki, Sho Sonoda·Jun 16, 2021

Classification is a common task in machine learning. Random features (RFs) stand as a central technique for scalable learning algorithms based on kernel methods, and more recently proposed optimized random features , sampled depending on the model and...