20240020559. SYSTEM AND METHOD USING MULTILAYER OPTICAL LATTICE QUBIT ARRAYS FOR QUANTUM COMPUTING simplified abstract (Kellogg Brown & Root LLC)
SYSTEM AND METHOD USING MULTILAYER OPTICAL LATTICE QUBIT ARRAYS FOR QUANTUM COMPUTING
Organization Name
Inventor(s)
Peter Carl Hendrickson of Reston VA (US)
Jadon Daniel Erwin of Herndon VA (US)
SYSTEM AND METHOD USING MULTILAYER OPTICAL LATTICE QUBIT ARRAYS FOR QUANTUM COMPUTING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240020559 titled 'SYSTEM AND METHOD USING MULTILAYER OPTICAL LATTICE QUBIT ARRAYS FOR QUANTUM COMPUTING
Simplified Explanation
The patent application describes a quantum computing system that consists of two parallel regions, each containing a set of logical qubits. Some of the qubits in each region are configured to interact with each other, and some are configured to interact with qubits in the other region. The system can also include additional regions with more qubits, and the qubits in the second region can interact with the qubits in the additional regions.
- The patent application describes a quantum computing system with multiple parallel regions of logical qubits.
- The qubits in each region can interact with each other and with qubits in other regions.
- The system can include additional regions with more qubits.
- The qubits in the second region can interact with qubits in the additional regions.
Potential Applications:
- Quantum simulation: The system can be used to simulate complex quantum systems, allowing for more accurate predictions in fields such as chemistry, materials science, and drug discovery.
- Optimization problems: Quantum computing has the potential to solve optimization problems more efficiently, such as route optimization, scheduling, and resource allocation.
- Cryptography: Quantum computing can potentially break current encryption algorithms, but it can also be used to develop more secure quantum-resistant encryption methods.
Problems Solved:
- Increased computational power: Quantum computing has the potential to solve certain problems exponentially faster than classical computers, enabling breakthroughs in various fields.
- Improved accuracy: Quantum simulation can provide more accurate predictions and insights into complex systems, leading to advancements in scientific research and development.
- Enhanced security: Quantum-resistant encryption methods can protect sensitive data from potential attacks by quantum computers.
Benefits:
- Faster problem-solving: Quantum computing can provide significant speedup for certain computational tasks, enabling faster problem-solving and decision-making.
- Advanced scientific research: Quantum simulation can help researchers gain a deeper understanding of complex systems and phenomena, leading to scientific advancements.
- Enhanced data security: Quantum-resistant encryption methods can ensure the security and privacy of sensitive information in the face of future quantum computing threats.
Original Abstract Submitted
a quantum computing (qc) system includes a first plurality of logical qubits in a first substantially planar region and a second plurality of logical qubits in a second substantially planar region that is substantially parallel to the first substantially planar region. at least some of the first plurality of logical qubits are configured to interact with one another, and at least some of the second plurality of logical qubits are configured to interact with one another and to interact with the at least some of the first plurality of logical qubits. the qc system can include additional pluralities of logical qubits in additional substantially planar regions that are substantially parallel to the first and second substantially planar regions and at least some of the second plurality of logical qubits can be configured to interact with one or more of the additional pluralities of logical qubits.
