QuEra Computing, creator of the worlds first neutral-atom quantum computer called Aquila, in collaboration with scientists from Harvard and Innsbruck Universities, has revealed a novel technique for carrying out a more comprehensive range of optimization calculations on neutral-atom devices. The findings conquer the native connection limitations of the qubits in Rydberg atom ranges, enabling them to solve more complicated optimization problems, including maximum independent sets on graphs with approximate connection and quadratic unconstrained binary optimization (QUBO) issues. Programmable quantum systems, such as the kind QuEra supplies, use unique possibilities to test the efficiency of different quantum optimization algorithms. These consist of maximum independent sets on charts with approximate connectivity, and quadratic unconstrained binary optimization (QUBO) problems with arbitrary or limited connectivity.
QuEra Computing, developer of the worlds very first neutral-atom quantum computer called Aquila, in partnership with researchers from Harvard and Innsbruck Universities, has actually revealed a novel technique for carrying out a more comprehensive series of optimization calculations on neutral-atom makers. The findings conquer the native connectivity limitations of the qubits in Rydberg atom ranges, allowing them to fix more complicated optimization problems, including maximum independent sets on graphs with arbitrary connectivity and quadratic unconstrained binary optimization (QUBO) problems. The extra performance opens up applications in industries like logistics and pharmaceuticals, helping in efficient logistics scheduling and enhanced protein design, which can expedite drug advancement and possibly increase earnings for pharmaceutical business.
Encoding breakthrough enables for fixing wider set of applications utilizing neutral-atom quantum computer systems.
QuEra Computing and university researchers have established a method to expand the optimization computations possible with neutral-atom quantum computer systems. This advancement, released in PRX Quantum, conquers hardware constraints, allowing options to more complicated problems, thus broadening applications in industries like pharmaceuticals and logistics.
QuEra Computing, maker of the worlds first and only publicly available neutral-atom quantum computer system– Aquila, just recently revealed that its research group has discovered an approach to carry out a broader set of optimization computations than formerly known to be possible using neutral-atom machines.
The findings in the paper “Quantum optimization with arbitrary connectivity using Rydberg atom varieties” were revealed today in PRX Quantum and are the work of QuEra scientists and collaborators from Harvard and Innsbruck Universities: Minh-Thi Nguyen, Jin-Guo Liu, Jonathan Wurtz, Mikhail D. Lukin, Sheng-Tao Wang, and Hannes Pichler.
” There is no concern that todays news helps QuEra deliver value to more partners, earlier. It assists bring us closer to our goals, and marks an essential turning point for the market also” said Alex Keesling, CEO at QuEra Computing. “This unlocks to dealing with more corporate partners who might have requirements in logistics, from transport and retail to robotics and other high-tech sectors, and we are very thrilled about cultivating those opportunities.”
Programmable quantum systems, such as the kind QuEra provides, use distinct possibilities to evaluate the performance of various quantum optimization algorithms. There can be limitations to this which are typically set by particular hardware restrictions. Specifically, the native connectivity of the qubits for a given platform often restricts the class of issues that can be dealt with. Rydberg atom ranges naturally allow resolving for optimum independent set (MIS) issues, but native encodings are restricted to so-called unit-disk graphs.
The papers findings significantly expand the class of issues that can be resolved with Rydberg atom ranges by overcoming the restrictions to the aforementioned geometric graphs. Now, brand-new classes of optimization problems can be solved by neutral-atom machines. These consist of optimum independent sets on graphs with arbitrary connectivity, and quadratic unconstrained binary optimization (QUBO) issues with arbitrary or limited connectivity.
This additional functionality permits applications in fields such as logistics scheduling and pharmaceuticals. Recognizing the most promising candidate elements for new pharmaceuticals at an early phase has long been a strenuous task. Through QuEras brand-new encoding method, optimized protein design becomes a possibility. In this way, devices such as Aquila will be able to support scientists to more efficiently identify the very best samples to continue with in trials. This decreases the resources required to get new types of drugs through the advancement procedure and boosts the possibility of approval. As a result, makers of pharmaceuticals may see increased revenue and lowered expense.
The development, therefore, supplies a blueprint for utilizing Rydberg atom varieties to resolve a vast array of combinatorial optimization problems using quantum computer systems of today.
Referral: “Quantum Optimization with Arbitrary Connectivity Using Rydberg Atom Arrays” by Minh-Thi Nguyen, Jin-Guo Liu, Jonathan Wurtz, Mikhail D. Lukin, Sheng-Tao Wang and Hannes Pichler, 14 February 2023, PRX Quantum.DOI: 10.1103/ PRXQuantum.4.010316.
