Papers

Raphael Brieger, I. Roth, M. Kliesch·Dec 9, 2021

Flexible characterization techniques that identify and quantify experimental imperfections under realistic assumptions are crucial for the development of quantum computers. Gate set tomography is a characterization approach that simultaneously and se...

A. Sarkar, Z. Al-Ars, H. Gandhi +1 more·Dec 7, 2021

In this research, we extend the universal reinforcement learning (URL) agent models of artificial general intelligence to quantum environments. The utility function of a classical exploratory stochastic Knowledge Seeking Agent, KL-KSA, is generalized...

D. Bluvstein, H. Levine, G. Semeghini +9 more·Dec 7, 2021

The ability to engineer parallel, programmable operations between desired qubits within a quantum processor is key for building scalable quantum information systems1,2. In most state-of-the-art approaches, qubits interact locally, constrained by the ...

S. Krinner, N. Lacroix, A. Remm +13 more·Dec 7, 2021

Quantum computers hold the promise of solving computational problems that are intractable using conventional methods1. For fault-tolerant operation, quantum computers must correct errors occurring owing to unavoidable decoherence and limited control ...

Pengcheng Liao, B. Sanders, D. Feder·Dec 5, 2021

Deciding if a given family of quantum states is topologically ordered is an important but nontrivial problem in condensed matter physics and quantum information theory. We derive necessary and sufficient conditions for a family of graph states to be in...

Linghang Kong, Zi-Wen Liu·Dec 2, 2021

Quantum error correction and symmetries play central roles in quantum information science and physics. It is known that quantum error-correcting codes that obey (are covariant with respect to) continuous symmetries in a certain sense cannot correct e...

C. Lavor, F. Marquezino, A. Oliveira +1 more·Dec 2, 2021

The Discretizable Molecular Distance Geometry Problem (DMDGP) aims to determine the three-dimensional protein structure using distance information from nuclear magnetic resonance experiments. The DMDGP has a finite number of candidate solutions and c...

Seid Koudia, A. Cacciapuoti, M. Caleffi·Dec 1, 2021

Entanglement represents “the” key resource for several applications of quantum information processing, ranging from quantum communications to distributed quantum computing. Despite its fundamental importance, deterministic generation of maximally ent...

Ashutosh Kumar Singh, D. Saxena, J. Kumar +1 more·Dec 1, 2021

This work presents a novel Evolutionary Quantum Neural Network (EQNN) based workload prediction model for Cloud datacenter. It exploits the computational efficiency of quantum computing by encoding workload information into qubits and propagating thi...

Daniel Basilewitsch, Yaxing Zhang, S. Girvin +1 more·Nov 30, 2021

In continuous-variable quantum computing with qubits encoded in the infinite-dimensional Hilbert space of bosonic modes, it is a difficult task to realize strong and on-demand interactions between the qubits. One option is to engineer a beamsplitter int...

A. Chalabi, C. Herzog, A. O’Bannon +2 more·Nov 29, 2021

Motivated by questions about quantum information and classification of quantum field theories, we consider Conformal Field Theories (CFTs) in spacetime dimension d ≥ 5 with a conformally-invariant spatial boundary (BCFTs) or 4-dimensional conformal d...

N. V. Horne, M. Mukherjee·Nov 29, 2021

Interfacing ion qubits in separate traps is among the challenges towards scaling up ion quantum computing. This theoretical study focuses on using a conducting wire to couple the motional quantum states of ions in separate planar traps. This approach...

Rajni Bala, V. Ravishankar·Nov 26, 2021

Environmental effects on the transmission of a state result, in general, in a change in the information carried by it. To mitigate this, many techniques such as quantum error–correcting codes, decoherence–free–subspaces [Rev Mod Phys, 88(4):041001, 2...

D. Concha, L. Pereira, L. Zambrano +1 more·Nov 26, 2021

Here, we study the problem of decoding information transmitted through unknown quantum states. We assume that Alice encodes an alphabet into a set of orthogonal quantum states, which are then transmitted to Bob. However, the quantum channel that medi...

Christa Zoufal·Nov 24, 2021

The goal of generative machine learning is to model the probability distribution underlying a given data set. This probability distribution helps to characterize the generation process of the data samples. While classical generative machine learning ...

L. Postler, Sascha Heußen, Ivan Pogorelov +10 more·Nov 24, 2021

Quantum computers can be protected from noise by encoding the logical quantum information redundantly into multiple qubits using error-correcting codes1,2. When manipulating the logical quantum states, it is imperative that errors caused by imperfect...

A. Mills, C. Guinn, M. Gullans +4 more·Nov 23, 2021

Silicon spin qubits satisfy the necessary criteria for quantum information processing. However, a demonstration of high-fidelity state preparation and readout combined with high-fidelity single- and two-qubit gates, all of which must be present for q...

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...

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...

Xiantao Li·Nov 19, 2021

This paper is concerned with the phase estimation algorithm in quantum computing, especially the scenarios where (1) the input vector is not an eigenvector; (2) the unitary operator is approximated by Trotter or Taylor expansion methods; (3) random a...