collaborators

5 papers

quant-ph2026

Truncated-Binary Encoding: Spectral Degree Reduction of Combinatorial Optimization Problems for Quantum Hardware

Tristan Zaborniak

Exact-binary encoding compiles a discrete cost function network (CFN) into a higher-order unconstrained binary optimization (HUBO) problem whose maximum monomial degree grows with…

quant-ph2026

Quantum Injection Pathways for Implicit Graph Neural Networks

Pengyuan Xu, Tristan Zaborniak, Luis F. Rivera +1

Deep Equilibrium Models (DEQs) replace a stack of explicit layers with a single operator whose fixed point defines the output, giving the expressive power of an arbitrarily deep ne…

cs.ET2026

Playing Dice with the Universe: Programming Quantum Computers to Play Traditional Games

Tristan Zaborniak, Vikram Khipple Mulligan

The challenge of programming classical computers to play traditional, competitive games against human players has helped to advance classical hardware and software. Quantum compute…

quant-ph2026

Qubit-efficient and gate-efficient encodings of graph partitioning problems for quantum optimization

Tristan Zaborniak, Prashanti Priya Angara, Vikram Khipple Mulligan +2

We introduce a qubit- and gate-efficient higher-order unconstrained binary optimization (HUBO) encoding for graph partitioning problems requiring label-count minimization. This wid…

quant-ph2024

Discrete quadratic model QUBO solution landscapes

Tristan Zaborniak, Ulrike Stege

Many computational problems involve optimization over discrete variables with quadratic interactions. Known as discrete quadratic models (DQMs), these problems in general are NP-ha…