Quasicrystal Qubits for Topological Quantum Computing
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Solution Overview
Problem
Current topological quantum computing approaches face significant practical challenges in implementing hardware due to the difficulty in utilizing conventional semiconductor materials at near absolute zero temperatures and strong magnetic fields, which are required for quasiparticles like non-abelian anyons.
Innovation Solution
A quantum computer utilizing quasicrystal or quasicrystalline approximant materials as the basis for qubits, which are designed to have anyonic properties and entangled spin states, enabling fault-tolerant topological quantum computing with improved robustness and scalability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional semiconductor materials are used at near absolute zero temperatures and strong magnetic fields to create quasiparticles for topological quantum computing, then topological qubits can be formed with protected quantum information, but the experimental implementation is tenuous and practically difficult
Solution Approach 1:
The patent changes the material parameter from conventional semiconductors to quasicrystalline materials, which fundamentally alters the physical properties and enables topological quantum computing without requiring near absolute zero temperatures and strong magnetic fields. This parameter change resolves the contradiction by maintaining quantum information robustness while dramatically simplifying hardware implementation conditions.
Solution Approach 2:
The patent employs quasicrystalline materials with complex composite structures that inherently provide topological protection for quantum information. These composite materials combine multiple elements (e.g., Al-Cu-Fe, Al-Pd-Mn) to create unique electronic properties that enable anyonic excitations and braiding operations, resolving the implementation difficulty while maintaining reliability.
2Reliability
If topological quantum computing is implemented with conventional materials, then quantum information is protected by topological behavior, but error rates remain high requiring numerous extra quantum bits for error correction
Solution Approach 1:
By changing to quasicrystalline materials with inherent topological order, the system achieves stronger protection against decoherence and lower error rates. This reduces the overhead of quantum error correction, decreasing the number of extra qubits needed and thus reducing device complexity while maintaining high reliability.
3Reliability
If conventional semiconductor materials are used for topological quantum computing, then theoretical advantages exist, but experimental data is tenuous and scalability is limited
Solution Approach 1:
The patent changes the operating parameters by using quasicrystalline materials that do not require near absolute zero temperatures and strong magnetic fields. This enables more practical and scalable implementations while maintaining fault tolerance through topological protection, directly addressing the scalability limitation of conventional approaches.
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 approach enhances the robustness and scalability of quantum computing by utilizing quasicrystals, which provide intrinsic properties for spintronic approaches and improved entanglement entropy, reducing the need for error correction and increasing coherence time, thus overcoming the limitations of conventional materials.
Implementation Method 1
the qubits are based on entangled spin states in the quasicrystal or quasicrystalline approximant material
Implementation Method 2
the material is selected to have anyonic properties
Implementation Method 3
each qubit is a single spin system and a controller selects a duration of a pulse at a resonant frequency to rotate a spin of the qubit to a selected angle
Implementation Method 4
rotate a spin of the qubit to a selected angle
Implementation Method 5
the qubits are quantum correlated network of fermionic tetrahedral cores across the bulk of the Tsai-type quasicrystalline approximant
Implementation Method 6
quantum correlated network of fermionic tetrahedral cores
Implementation Method 7
each qubit is quantum superposition of a finite set of energetically allowed molecular dipole spin orientations within the quasicrystal or quasicrystal approximant
Implementation Method 8
molecular dipole spin orientations
Data Source
AI summary
A quantum computer, quantum logic circuit, material for forming qubits, and method of operating a quantum computer is described. The material is formed from a quasicrystal or quasicrystalline approximant. In some examples, topological quantum computing is performed based on the quasicrystal or quasicrystalline approximant materials. Quasicrystals and quasicrystalline approximate materials have materials properties that can be adapted to perform quantum computing. In one example, the material is a Tsai-type quasicrystalline approximant with a material structure selected to permit qubits to be generated.