Flux-based superconducting qubits for quantum computation

Abstract

Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum. AbstractSuperconducting quantum circuits have been proposed as qubits for developing quantum computation. The goal is to use superconducting quantum circuits to model the measurement process, understand the sources of decoherence, and to develop scalable algorithms. A particularly promising feature of using superconducting technology is the potential of developing high-speed, on-chip control circuitry with single-flux quantum (SFQ) electronics. The picosecond time scales of SFQ electronics means that the superconducting qubits can be controlled rapidly on the time scale that the qubits remain phase-coherent. Recent progress and the major challenges are presented.

Optimal Qubit Control Using Single-Flux Quantum Pulses

“…The ability to generate reproducible identical pulses at a high clock rate has been demonstrated in integrated circuits [3]. Next to its original motivation of ultrafast digital circuits, this ability makes RSFQ technology a highly viable candidate for the on-chip generation of control pulses and readout for quantum computers based on Josephson devices [4][5][6][7][8][9]. The switching time lies in the picosecond range, leading to fast quantum gates [10], but the timing of the single-voltage pulses to control the devices is a major challenge [11].…”

Type II Quantum Computing With Superconductors

“…The previous work has been focused on three areas: (1) the use of superconducting qubits to implement type-II quantum computing [1][2][3][4][5][6]; (2) in concert with the DURINT program (the joint AFOSR-ARDA MURI) on type-I quantum computing, the study of single and coupled superconducting persistent current qubits [7,8]; and (3) the proposal of architectures for adiabatic quantum computing [9] using superconducting qubits.…”

“…The simplest type 11 algorithm to implement is the Factorized Quantum Lattice-Gas Algorithm (FQLGA) for the ID Diffusion Equation [1,4]. It requires a ID network of classically connected quantum computers (nodes) that consist of only two coupled qubits.…”

Uma análise da difração de elétrons por um fio delgado de comprimento variado com e sem efeitos de fase Aharonov-Bohm

“…29, gerando uma integral de linha fechada do potencial vetor em torno do obstáculo + sole-noide (feita no sentido anti-horário ou trigonométrico de giro), a qual pode ser identificada como a diferença de fase entre as contribuições dos caminhos acima e abaixo desse sistema chamado de parâmetro de fluxo [90,91] onde os respectivos autores tratam sobre o assunto empregando anéis supercondutores. Além de sugerirem aplicações na computação quântica para determinar informações sobre os estados de qubits [92][93][94][95] armazenados como superposições de fluxos magnéticos. Considerações relacionadas ao efeito AB e deslocamentos no padrão de interferência (por fenda dupla) via equação de Schrödinger, também podem ser encontrados em [96].…”