Hugo Wallner

Title: Hugo Wallner: Advancing Binary Optimization with Boson Sampling

Introduction

Hugo Wallner is an inventor based in London, Great Britain, whose patent work explores the use of boson sampling to solve binary optimization problems. He is associated with Orca Computing Limited and has 2 patents.

Latest Patents

Wallner’s latest patents describe approaches that use boson samplers and controllers to find solutions to binary optimization problems.

“Binary optimization with boson sampling” describes a system in which a boson sampler applies a parametrized unitary transformation to an input bosonic state. A controller selects the transformation’s parameter values, operates the sampler repeatedly, records its responses, and converts those responses into binary sequences. It then evaluates an objective function and uses the calculated values to determine a solution.

“Binary optimization using shallow boson sampling” describes a boson sampler that transforms an input bosonic state and produces measurement outcomes indicating whether bosons are present in output modes. A controller converts those outcomes into binary sequences and uses them to determine a solution to a binary optimization problem.

Career Highlights

Wallner’s patent portfolio focuses on connecting quantum sampling processes with binary optimization. The inventions outline how repeated measurements and controller-based processing can translate bosonic states into candidate solutions.

Collaborations

Wallner is associated with Orca Computing Limited. His listed coworker is Kamil Bradler.

Conclusion

Hugo Wallner’s patents present boson sampling as a practical framework for generating and evaluating solutions to binary optimization problems.