Latching Qubit Architecture for Scalable Quantum Processor Programming
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Solution Overview
Problem
Current superconducting quantum processors face limitations in scalability due to the complexity of qubit parameter control systems, which require external communication for managing multiple qubits, leading to inefficiencies in processing power and coherence maintenance.
Innovation Solution
The implementation of a superconducting quantum processor with a plurality of computation qubits and latching qubits, where each qubit loop is formed by a loop of superconducting material with a compound Josephson junction, and a clock signal input structure that couples clock signals at an adiabatic frequency, allowing for inductive coupling and reduced thermal noise through adiabatic evolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If external communication systems are used to control individual qubits, then qubit parameter control is achievable, but system complexity and thermal noise increase
Solution Approach 1:
The patent merges the control functionality directly into the qubit structure by using latching qubits that can be controlled through inductive coupling with clock signals. This integration eliminates the need for separate external control systems for each qubit, reducing overall system complexity while maintaining control capability.
Solution Approach 2:
The latching qubits are designed to autonomously maintain their state through self-latching mechanisms, eliminating the need for continuous external control. The qubits self-regulate their parameters through the clock signal timing, reducing the burden on external control systems.
2Ease of operation
If traditional qubit control methods are used, then individual qubit manipulation is possible, but coherence time decreases due to thermal noise
Solution Approach 1:
The patent employs periodic clock signals to control the latching qubits at adiabatic frequencies. This periodic control method manipulates qubit parameters while maintaining coherence by avoiding thermal noise excitation, thus achieving both ease of manipulation and high reliability.
Solution Approach 2:
The patent changes the operational parameters by using adiabatic frequency clock signals that slowly modulate the qubit states. This parameter change approach allows qubit manipulation while staying below thermal noise thresholds, preserving coherence time.
3Object-affected harmful factors
If damping resistors are added to reduce thermal noise, then thermal noise decreases, but energy loss increases
Solution Approach 1:
The patent converts the potential harm of thermal noise into a benefit by operating at adiabatic frequencies where thermal noise becomes negligible. This approach eliminates the need for damping resistors, avoiding energy loss while still achieving thermal noise reduction.
Solution Approach 2:
By changing the operational frequency parameter to adiabatic frequencies, the system naturally suppresses thermal noise without requiring additional damping components. This parameter change achieves thermal noise reduction while maintaining energy efficiency.
4Productivity
If more qubits are added to increase processing power, then computational capability improves, but control system complexity increases
Solution Approach 1:
The patent implements a universal clock signal distribution system that can control multiple latching qubits simultaneously. This multi-functional approach allows a single control architecture to manage any number of qubits, enabling scaling of processing power without proportional increases in control system complexity.
Solution Approach 2:
The patent segments the control approach by using identical, modular latching qubit designs that can be replicated and controlled through a standardized clock signal interface. This segmentation allows easy scaling of qubit numbers while maintaining uniform, manageable control complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This configuration enables scalable qubit parameter control within the processor, reducing thermal noise and maintaining coherence, thus enhancing the processing power and stability of the quantum processor.
Implementation Method 1
clock signals are inductively coupled at adiabatic frequencies
Implementation Method 2
computation qubits with compound Josephson junctions
Implementation Method 3
clock signals are inductively coupled at adiabatic frequencies, enabling scalable qubit parameter control through a flux-based superconducting shift register that reduces thermal noise and maintains coherence
Implementation Method 4
each computation qubit comprises a qubit loop formed by a loop of superconducting material
Data Source
AI summary
An architecture for a quantum processor may include a set of superconducting flux qubits operated as computation qubits and a set of superconducting flux qubits operated as latching qubits. Latching qubits may include a first closed superconducting loop with serially coupled superconducting inductors, interrupted by a split junction loop with at least two Josephson junctions; and a clock signal input structure configured to couple clock signals to the split junction loop. Flux-based superconducting shift registers may be formed from latching qubits and sets of dummy latching qubits. The devices may include clock lines to clock signals to latch the latching qubits. Thus, latching qubits may be used to program and configure computation qubits in a quantum processor.