Quantum Computing Algorithm Breakthrough Brings Practical Use Closer to Reality
Among the commonly used phrases in the world of computing,If the software can catch up with the hardware It will probably rank pretty high. Still, sometimes software catches up with hardware. Actually, this time also somehow, Software can even unlock quantum computing in classical computers. According to researchers at the RIKEN Quantum Computing Research Center, published work It is based on algorithms that significantly accelerate certain quantum computing workloads.More importantly, the workload itself – called time evolution operator – It has applications in condensed matter physics and quantum chemistry, two fields that can unlock new worlds within us.
Algorithms are usually better, but not completely out of the ordinary. After all, updates are everywhere. All app updates, software updates, or firmware upgrades essentially provide modified code that (presumably) fixes a problem or improves performance. The algorithm improvements are great, as anyone with an AMD or NVIDIA graphics card can attest. But let’s be honest, we’re used to being disappointed by performance updates.
Still in this case the performance gain is phenomenal. Really, it doesn’t get any better than this. Through improved algorithms (which themselves are hybrids of quantum and classical methods), future quantum computers could be simpler than we thought, faster, cheaper, and more efficient than expected. You will be able to tackle big problems. But the performance improvements don’t stop there. These could enable conventional machines to handle a degree of complexity once thought only quantum computers could solve.
“Time evolution operators are giant numerical grids that describe the complex behavior of quantum matter,” explains Kaoru Mizuta of the RIKEN Quantum Computing Research Center. “They are very important because they give quantum computers the opportunity to have very practical applications: a deeper understanding of quantum chemistry and solid-state physics.”
This algorithmic improvement obsoletes previously introduced quantum computer trottering techniques, already suspected to be unsustainable for long-term scaling. This is because the technology requires a huge number of quantum gates, each with a variable number of qubits programmed to perform a specific function. Even his 1,121-qubit Condor QPU (quantum processing unit) from IBM, due for release this year, contains a large number of quantum gates that would be required to trotter into workloads that really mean anything in quantum computing. It will be difficult to enable. Clause.
No, quantum computing will not come to our smartphones. In a sense, today’s superconducting refrigerators Eniac From the dawn of integrated microchips. Or move from that point to the equivalent of today’s fastest CPU or best GPU. That is our road ahead for Quantum, and the road still ringing at the start.
