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Quantum Computers Are able to Make Batteries

Hyundai is now working with the startup IonQ to study how quantum computers could design modern batteries for electric vehicles. In the hope of developing the most powerful battery-chemistry model to date executed using a quantum computers. The two companies announced this morning.  The Most common Error of Amazon App, Easy Way to Fix amazon app cs11 error

A quantum computer with enough complexity for example, sufficient components referred to as quantum bits, or “qubits”. Could theoretically have an advantage quantum in that it could find solutions to problems that classical computer could ever tackle.

In the theory, a quantum computer that equipped with 300 qubits. Dedicated to computing could be able to perform more calculations in a single moment than all the atoms in the universe.

Application for Quantum Computers

The most popular application for quantum computers could be chemistry. For instance, simulation of molecules to discover which ones are likely to be effective drugs. “Quantum computers ideally designed to model molecular behavior. Because the both systems controlled by quantum mechanics” states Peter Chapman, CEO and president of Maryland-based IonQ.

Because quantum computers can analyze chemistry more precisely than traditional computer systems. It becomes possible to ensure that one is achieving the maximum amount of efficiency while removing the sources of waste.

The company IonQ is aiming to utilize quantum computing to study. To analyze the structure and the power of the lithium compound in Hyundai’s batteries. This includes lithium oxide found in lithium-air batteries. “Lithium-air batteries have higher energy density than lithium sulfur batteries. It means they are more powerful and have greater capabilities,” Chapman says.

IonQ will develop new algorithmic techniques for variationally quantum eigen solver that designed for studying lithium chemical properties. These types of algorithms typically employed in quantum chemistry to be able to. For Example, describe the state of a molecule’s base state, which is the one that contains the lowest energy. Variationally quantum eigen solvers can described as hybrid algorithms. That let conventional computers perform the majority of the work. While quantum processors tackle the portion of the issue that could be difficult for conventional machines to tackle.

Computers as they Cloud-Based Work

IonQ will join classical and quantum computers as they cloud-based work. This includes the latest quantum computer “which recently outperformed other computers. Tested in a series tests of benchmarking conducted by the industry group QED-C and remains in private beta” Chapman says.

In contrast to Google, IBM, Amazon and other companies typically use qubits. Built on superconducting loops IonQ makes use of qubits that built on ions trapped by electromagnetic force. Superconducting loops can used with traditional microchip technologies, however, trapped ions can provide advantages like resistance to mistakes.

The goal of the partnership develop the most sophisticated battery chemistry model that built on quantum computers. That determined by the number of quantum gates and qubits. The quantum computing equivalent of logic gates conventional computers use to do computations.

“The team intends to utilize at minimum 12 qubits and more than 100 gate operations in the research,” Chapman says. For comparison, a Daimler-IBM collaboration that relied on quantum computing to design next generation of lithium-sulfur batteries used four qubits. Moreover, no other commercial ventures have announced results as of yet, he says.

Automobile Manufactures – Quantum Computing

Automobile manufacturers are increasingly looking at quantum computing. “Because it naturally applies to the revolution happening across the entire industry, namely the creation of electric vehicles” Chapman says. There is a huge incentive to create a more efficient and less costly battery as a result. So it is logical that innovative companies such as Hyundai are including quantum computing in their toolkit.

The companies cited this work aimed at improving the durability, cost capacity, safety and charging performance for lithium battery. That are usually the most expensive elements for electric cars. “Electric vehicles are an essential element of the global effort towards reducing our environmental footprint” Chapman says. “It’s important to partner with Hyundai to improve the science behind them which will bring them into the mainstream.”

Beyond the chemical analysis of batteries Quantum computing may assist in exploring fuel-cell technologies and their durability, Chapman notes. Furthermore, “quantum machine learning applications can utilized to enhance the time to train autonomous vehicles. To solve issues in predictive maintenance, warehouse management and much more,” he says.

“Longer-term more complex optimization problems like multichannel logistical and routing are on automakers’ research and development agendas,” Chapman adds. “For example, Volkswagen has been exploring quantum computing for a variety of applications. To optimize the route of Vehicles through traffic by using quantum hardware and techniques that inspired by quantum. Recently, they’ve also focused on improving the distribution system that includes charging station.”

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