Quantum Control Signal Compression for Low-Power QPU Transmission
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Solution Overview
Problem
The development of scalable quantum computers is hindered by the challenge of providing high communication bandwidth to quantum processors while respecting power constraints and minimizing error rates, particularly due to the increased power consumption and crosstalk associated with transmitting control signals.
Innovation Solution
A computer-implemented method is introduced to select a power-optimal compression scheme for transmitting digital control signals from a classical interface to a quantum processing unit (QPU), considering static and dynamic power consumption values, which allows for efficient bandwidth utilization and reduced power consumption, thereby facilitating the development of large-scale fault-tolerant universal quantum computers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If high-bandwidth control signals are transmitted to the quantum processor, then communication bandwidth is improved, but power consumption increases
Solution Approach 1:
The patent extracts and removes redundant information from control signals through compression techniques. By identifying and eliminating unnecessary control signal components before transmission, the system reduces bandwidth requirements while maintaining essential quantum processor control functionality, thereby lowering power consumption without sacrificing productivity.
Solution Approach 2:
The patent changes the parameter representation of control signals by encoding them in compressed formats. By transforming the control signal parameters from uncompressed to compressed representations, the system transmits the same control information using fewer bits, reducing communication bandwidth requirements and associated power consumption while maintaining full control capability.
2Productivity
If high-bandwidth control signals are transmitted to the quantum processor, then communication bandwidth is improved, but error rate increases due to crosstalk
Solution Approach 1:
The patent extracts and removes redundant information from control signals through compression techniques. By identifying and eliminating unnecessary control signal components before transmission, the system reduces bandwidth requirements while maintaining essential quantum processor control functionality, thereby lowering power consumption without sacrificing productivity.
Solution Approach 2:
The patent introduces compression and decompression algorithms as intermediary processing steps between the classical control system and quantum processor. These intermediaries transform control signals into compressed formats for transmission and reconstruct them at the destination, reducing direct signal interference and crosstalk while maintaining signal integrity and reducing error rates.
Data Source
AI summary
A computer-implemented method of selecting a power-optimal compression scheme for transmitting digital control signals from a classical interface of a quantum computer to a quantum processing unit (QPU) of the quantum computer is disclosed. The method involves receiving static and dynamic power consumption values associated with operations performable by the QPU; determining compression schemes implementable by the QPU; calculating total power consumption values associated with receiving and decompressing a representative control signal at the QPU using the compression schemes; and selecting the compression scheme having the lowest total power consumption value. A corresponding method for transmitting control signals from a classical interface of the quantum computer to the QPU is also disclosed in which a compressed control signal is transmitted from the classical interface to the QPU with one or more delays.