Scientists at RIKEN have developed a hybrid quantum-computational algorithm for condensed matter, efficiently calculating interactions at the atomic level in complex materials. This breakthrough enables the use of smaller quantum computers or even traditional computers to delve into the realms of condensed-matter physics and quantum chemistry, potentially uncovering new discoveries in these fields. The algorithm tackles the challenge of processing data efficiently in quantum computers, which have the advantage of handling multiple values simultaneously, known as qubits, unlike the binary nature of conventional computers.
The algorithm primarily focuses on time-evolution operators, which describe the intricate behaviors of quantum materials. Previous quantum computers utilized a technique called Trotterization to achieve time-evolution operators, but this approach is not suitable for future quantum computers due to its extensive computational time and the need for a large number of quantum gates. The RIKEN team put forward a more practical and efficient algorithm that combines both quantum and classical methods, allowing for the compilation of time-evolution operators at a reduced computational cost. As a result, smaller quantum computers, as well as conventional ones, can execute this algorithm.
The hybrid quantum-computational algorithm brings significant implications to the world of quantum computing. Firstly, the algorithm enables efficient calculations of atomic-level interactions in complex materials, providing a deeper understanding of condensed matter physics and quantum chemistry. By simulating and studying material behavior at the atomic scale, researchers can gain insights into the properties and behaviors of various substances, with applications across scientific and technological fields.
Moreover, the algorithm’s ability to utilize smaller quantum computers or even conventional computers is a noteworthy advancement. Building large-scale fault-tolerant quantum computers remains a complex challenge, but researchers can still progress in quantum simulations and computations by leveraging smaller quantum systems. This broader accessibility expands the opportunities for studying and solving complex problems in materials science, physics, and chemistry without prohibitively large and advanced quantum computing infrastructure.
This integration of classical and quantum methods marks an important milestone in the advancement of quantum computing, highlighting the potential for synergistic approaches and the future development of practical applications. By bridging classical and quantum techniques, researchers can harness the strengths of both computing paradigms, leading to more efficient algorithms, optimized computations, and the ability to solve complex problems in a hybrid computing framework.
The researchers’ next objective is to explore the application of optimized time-evolution operators to various quantum algorithms that compute the properties of quantum materials. They firmly believe that their work will demonstrate the potential of utilizing smaller quantum computers to advance the study of physics and chemistry.
Reference:
Mizuta, K., et al. (2023). Implementation of Time-Evolution Operators on Limited-Size Quantum Computers. RIKEN Research News, Retrieved from RIKEN site
Hamed is an innovative and results-driven Chief Scientist with expertise in Quantum Science, Engineering, and AI. He has worked for leading tech companies in Silicon Valley and served as an Adjunct Professor at UC Berkeley and UCLA.