Credits: Disclosure/PhaseCraft

A promising theoretical advance in the field of quantum computing can represent a radical change in the pace of development of materials and chemical compounds. The British startup Phasecraftheadquartered in London and Bristol, announced the creation of a new algorithm that, according to its scientists, improves in until ten times the efficiency of quantum simulations – Even with the limited performance of current machines.

The algorithm, named after THRIFTwas developed with the objective of make possible the practical application of quantum computing long before expectedadjusting the calculations to ride more accurately and speed on the devices already available on the market.

Quantum simulations are used to predict and understand extremely complex molecular interactions that classic computers cannot model accurately. Such models have the potential to accelerate discoveries in areas such as Energy, Health and Industryallowing, for example, the creation of more durable, efficient and quick batteries to carry.

Thrift drew attention precisely for its ability to expand the scope and duration of simulations up to 10 times, when compared to traditional methods. The performance of the algorithm was validated in tests with a reference model of quantum physics, known as Ising model with one -dimensional cross -sectional fieldwhose results were published this week in the magazine Nature Communications.

We got an improvement of ten times using today’s machines. We hope this number will grow as hardware evolves and becomes more resistant to errors and noise

Raul Santoschief scientist at Phasecraft, to site The Next Web (TNW).

With an eye on the present, not just in the future

Although much of the sector bets on developing increasingly powerful quantum machines in the coming decades, Phasecraft bets on a different way: reformulate the algorithms to extract as much from existing quantum computers. The approach seeks to accelerate the practical benefits of quantum technology, even without depending on a hardware leap.

“This algorithm is designed to work efficiently in current architectures, such as chips recently announced by Google, Microsoft and Amazon,” said Santos.

Press Release/PhaseCRAFT

Startup of academic origin and weight partnerships

Phasecraft emerged in 2019 as a spin-off of the universities of Bristol E Uclfounded by teachers Ashley Montanaro (CEO), Toby Cubitt (CTO) e John Morton (Director).

Since then, the company has captured more than 20 million dollars in investments and maintains collaborations with quantum computing giants, such as Google, IBM and WANT.

Despite the enthusiasm, the advance is still a theoretical promise. Phasecraft itself admits that the results have been obtained in simulation environments and laboratories, and their full applicability will depend on the gradual evolution of quantum hardware and continuous improvement in error tolerance.

Also read:

The New Quantum Race

In recent months, the main players of technology have been intensifying their efforts on quantum computing. Google launched the chip WillowMicrosoft presented its approach with qubits Majoranaand Amazon revealed its system Ocelot. All of these innovations form the fertile ground for algorithms like Thrift gain more space.

While the sector still debates when quantum computing will have a direct impact on products and services, solutions such as Phasecraft indicate that The race for practical utility has already begun – With startups trying to take the first step before the industry giants.

Fonte: Phasecraft e The Next Web

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Source: https://www.adrenaline.com.br/tech/phasecraft-startup-algoritmo-eficiencia-simulacoes-quanticas/



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