Digitized Counterdiabatic Quantum Sampling Achieves Efficient Boltzmann Distributions With 124 Qubits And 2x Performance Gains

Digitized Counterdiabatic Quantum Sampling Achieves Efficient Boltzmann Distributions With 124 Qubits And 2x Performance Gains

Researchers have developed a new computational technique that efficiently generates samples from complex energy landscapes, achieving significantly faster and more accurate results than existing methods for problems in fields like materials science and machine learning