Google Introduces a Novel Method for Combining Quantum Computing and Classical Computer Competences
The connexion between the challenges in computing and real-world impact of quantum chemistry that process using quantum computers has since long been a point of emphasis for Google’s Quantum AI team. Recently, Google in partnership with Professor David Reichmann and Dr. Joonho Lee at Colombia University, have invented a novel technique to combine quantum computing and classical computer capabilities.
Quantum computers are able to process more data by using quantum bits than traditional computers. Also, they are capable of processing a massive range of intricate computational problems by using considerably lesser energy and at a boosted speed; intrinsically, they are able to solve numerous computational problems in just a few seconds that are either further than the competences of traditional computers or might require excessive time to complete than traditional computers.
The connexion between the challenges in computing and real-world impact of quantum chemistry that process using quantum computers has since long been point of emphasis for the Google’s Quantum AI team. By trial and error methods, researchers have developed basic simulations of high-temperature superconductivity, chemical bonding, nanowires, and even unusual stages of matter.
Regardless of these achievements, it is yet highly imperative to harness the benefits of traditional algorithms for understanding quantum chemistry than using quantum processors full of noise that are available these days. Nonetheless, when quantum mechanics laws are transformed into codes that a traditional computer can process, usually, the storage space or time that is needed scales very badly with the physical system’s extent to simulate.
An Innovative Technique of Intermingling Quantum Computing and Classical Computer Capabilities
Recently, Google in partnership with Professor David Reichmann and Dr. Joonho Lee at Colombia University, have invented a novel technique to combine quantum computing and classical computer capabilities. This state-of-the-art method of merging traditional & quantum computing capabilities to comprehend quantum chemistry, which can substitute a computationally-costly sub-routine in a potent traditional algorithm with a “reasonable”, noisy, computation on a small quantum processer has been proposed and experimentally validated. To calculate the effectiveness of this fusion quantum-classical tactic, the team of researchers used this novel idea to accomplish the biggest quantum computation of chemistry thus far, by making use of 16 quantum bits to understand the forces witnessed by 2 atoms of carbon in a diamond crystal.
Google and the team of researchers used a family of Monte Carlo methods (projector Monte Carlo) to provide a favourable explanation of the lowermost state of energy of a quantum mechanical system (similar to the 2 atoms of carbon in a crystal). Nonetheless, simply storing a decent explanation of a quantum state on a traditional computer can be ridiculously costly, let alone computing a quantum state.
Projector Monte Carlo approaches offer a technique that solves this problem. Rather than noting down a complete explanation of the quantum state, researchers have designed a few guidelines for producing a huge number of overgeneralized explanations of the quantum state (for instance, a list of where every single electron is likely to be in the universe) whose average is a proper estimate to the actual ground state of the quantum.
By making use of this novel fusion quantum algorithm, researchers executed the biggest ever quantum calculation of materials science or chemistry. They made use of 16 quantum bits to compute the energy of 2 carbon atoms inside a diamond crystal. By guiding a potent traditional Monte Carlo computing that uses data from the quantum computer, researchers executed these computations in an approach that was as expected vigorous to noise. It is clear that the development of such novel approaches are likely to boost the global quantum computing market.
The Bottom Line
Google is quite positive about the potential of this innovative research method and eager to beat the challenges of scaling such types of computations further beyond its borderline of what it can do with traditional computing, and even to the enigmatic angles of the space. Google is aware of the way ahead, which is lengthy, nevertheless is enthusiastic to have another tool in the growing toolbox of the technological world.
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