학술논문

Quantum Computer Architecture for Quantum Error Correction with Distributing Process to Multiple Temperature Layers
Document Type
Conference
Source
2023 Eleventh International Symposium on Computing and Networking (CANDAR) CANDAR Computing and Networking (CANDAR), 2023 Eleventh International Symposium on. :196-202 Nov, 2023
Subject
Computing and Processing
Computers
Quantum computing
Quantum dots
Process control
Computer architecture
Quantum state
Error correction
quantum computer
quantum computation
architecture
quantum error correction
feed-forward
Language
ISSN
2379-1896
Abstract
Quantum computers are capable of performing large-scale calculations in a shorter time than conventional classical computers. Because quantum computers are realized in microscopic physical systems, unintended change in the quantum state is unavoidable due to interaction between environment, and it would lead to error in computation. Therefore, quantum error correction is needed to detect and correct errors that have occurred.In this paper, we propose quantum computer architecture for quantum error correction by taking account that the components of a quantum computer with quantum dots in silicon are divided into multiple temperature layers inside and outside the dilution refrigerator. Analog signals to control the qubits are precisely generated on a 4 K stage inside the dilution refrigerator, while real-time digital processing is performed outside the dilution refrigerator. We then experimentally demonstrate the digital control sequence for quantum error correction combined with a simulator which simulates quantum states during quantum computation. The real time processing including determination of feed-forward operation and transmission of feed-forward operation command is carried out by an FPGA outside the dilution refrigerator within 0.01 ms for bit-flip error correction. This is a sufficiently short time compared to the assumed relaxation time, which is the approximate time that the quantum state can be preserved, meaning that our proposed architecture is applicable to quantum error correction.