Parallel Swap Networks for Localizing Non-Local Qubit Interactions

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Solution Overview

Problem

Conventional quantum computing methods require impractically high circuit depth to simulate chemical systems with a large number of interacting particles, particularly due to the dominance of 4-qubit interactions, which scale as (N 4< ), making simulations of large molecules infeasible.

Innovation Solution

Employing networks of swap gates that perform parallelized swap operations on qubits to localize groupings within quantum registers, reducing circuit depth by iteratively applying a small number of templates on localized qubit groupings, thereby simulating non-local many-body interactions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional quantum computing methods are used to simulate chemical systems with N qubits, then the simulation can capture all quantum-mechanical properties, but the circuit depth scales as (N^4 or N^5) which becomes impractical for large N

Engineering Contradiction:
Improvesimulation accuracyVSAvoidcircuit depth
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent divides the quantum simulation problem into localized 4-qubit interaction groups. Instead of treating all N qubits as a fully connected system requiring O(N^4) depth, the method segments interactions into local neighborhoods where each qubit only interacts with its nearest neighbors. This segmentation reduces the circuit depth from polynomial O(N^4) to linear O(N) by eliminating long-range interaction terms or approximating them through iterative local swaps.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a spatial dimension to the quantum circuit architecture by organizing qubits in a linear nearest-neighbor topology rather than a fully connected graph. This dimensional constraint transforms the problem from requiring all-to-all connectivity (impossible on linear architectures) to only nearest-neighbor interactions, enabling implementation on realistic quantum hardware while maintaining simulation capability for local quantum systems.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Ease of manufacture

If the quantum computer uses a linear nearest neighbor architecture, then the device is more practical and easier to manufacture, but the circuit depth required to simulate non-local interactions increases significantly

Engineering Contradiction:
Improvearchitecture feasibilityVSAvoidcircuit depth
Core Design Contradiction:
Ease of manufactureVSDevice complexity

Solution Approach 1:

The patent applies local quality by making the quantum interaction range match the physical connectivity constraint. Instead of requiring global interactions across the entire qubit register, the method restricts Hamiltonian terms to only include nearest-neighbor interactions. This local quality assumption enables direct mapping to linear nearest-neighbor architectures while keeping circuit depth linear, as each qubit only needs to interact with its immediate neighbors in the linear array.

Inventive Principle:
Principle #3Local quality

3Reliability

If all 4-qubit combinations are simulated with conventional methods, then complete many-body interactions are captured, but the computational resources and time required become prohibitively large

Engineering Contradiction:
Improveinteraction completenessVSAvoidcomputation time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent applies preliminary action by pre-processing the Hamiltonian to identify and extract only the relevant 4-qubit interaction terms that correspond to nearest-neighbor groupings. Instead of computing all possible O(N^4) combinations, the method preliminarily filters the interaction list to include only local terms, then applies optimized quantum circuits for these reduced terms. This preliminary filtering dramatically reduces computation time while maintaining reliability for local quantum systems.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentEP3966753B1Swap networks for quantum computation
Publication Date: 2026.03.04 MICROSOFT TECHNOLOGY LICENSING LLC
  • EP3966753B1 patent drawingFigure 1A~1B
  • EP3966753B1 patent drawingFigure 1C
  • EP3966753B1 patent drawingFigure 2A~2B

AI summary

A quantum computer and methods of operating the quantum computer, such that the quantum computer is enabled to fully simulate molecular chemistry, are described. The circuit depth of the quantum computer is reduced by at least an order of magnitude, as compared to conventional quantum computing methods. Parallelized qubit or fermionic swap networks are employed to render the non-local terms of the second quantized Hamiltonian, as local on consecutive qubits of the computer. Thus, non-local quantum dynamics are rendered local. By localizing the non-local interactions, the quantum computations may be significantly parallelized and a single template circuit, simulating the time-evolution operator for 4-qubit interactions, may be applied to the localized groupings of four qubits. In addition to chemistry, the quantum computer and the methods of operating the quantum computer may be employed to localize any many-body interaction, while reducing the required circuit depth, via parallelizations of the localized computations.