How D-Wave Clears Magnetic Noise in Quantum Computers
A method for improving quantum computer accuracy by actively clearing out magnetic interference that builds up during calculations.
Patent Number
US 11295225
Status
Active
Filing Date
July 6, 2018
Grant Date
April 5, 2022
Expiration
July 6, 2038
Claims
33
Assignee
D Wave Systems Inc
Inventors
Emile M. Hoskinson, Trevor Michael Lanting
Citations
13 forward · 5 backward
What it covers
Quantum processors often suffer from 'spin-bath polarization,' which is essentially magnetic noise that builds up in the environment surrounding the qubits during a calculation. This patent describes a way to reset this environment by forcing the qubit into an opposite state after a calculation is finished. By raising a 'tunneling barrier'—which acts like a gate to lock the qubit's state—the system holds the qubit in this corrective position for a specific amount of time. This process effectively depolarizes the surrounding environment, allowing the quantum processor to start its next calculation without the lingering magnetic interference from the previous one.
What it doesn't cover
- —Does not cover passive cooling techniques that do not involve active qubit state manipulation
- —Does not cover quantum gate-based processors that do not utilize quantum annealing cycles
- —Does not cover error correction methods that rely solely on software algorithms rather than physical qubit state latching
- —Does not cover systems that do not use superconducting qubits
The clever bit
Instead of trying to shield the qubit from noise, the system uses the qubit itself as a tool to 'flush' the noise out by intentionally flipping its state and holding it there to cancel out the accumulated magnetic polarization.
Why it matters
Quantum computers are incredibly sensitive to noise. If the environment doesn't 'reset' between operations, the errors accumulate, making the final result useless. D-Wave Systems, a leader in quantum annealing, uses this technology to make their processors more reliable for complex optimization problems, such as logistics or financial modeling.
Real-world examples
- 1.D-Wave Advantage quantum annealing processors
- 2.Superconducting quantum annealing hardware
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US 11295225 · 2026