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Quantum computing offers a huge edge over classical systems for certain types of problems, especially those modeling fundamentally quantum systems. These problems don’t affect all businesses, but for certain applications (like semiconductor design, or modeling molecules with complex atomic interactions to develop new materials and pharmaceuticals), quantum computers can address problems that today’s most powerful HPC systems can’t.

Quantum computing does this by processing information in a way that’s radically different from classical computing. Where conventional systems store information in bits representing either zero or one, quantum computers use quantum bits, or “qubits,” which can be in a state of zero and one at the same time. Taking advantage of quantum properties like superposition and entanglement, they can perform massively parallel processing operations, calculating millions of possible outcomes at once.

Quantum computing is often held up as a solution to all our data-driven prayers. But is that true? Or are there quicker, more practical ways than quantum computing to solve those problems? To answer the question, first we have to understand the differences between digital computing, analog computing and quantum computing.

Quantum computing has the potential to provide groundbreaking, transformative solutions for certain types of problems. IonQ’s technology has already surpassed all other quantum computers now available, demonstrating the largest number of usable qubits in the market. Its gate fidelity, which measures the accuracy of logical operations, is greater than 98% for both one-qubit and two-qubit operations, meaning IonQ’s quantum computing can handle longer calculations than other commercial quantum computers. HPE believes IonQ’s qubits and methodology are of such high quality, they will be able to scale to 100 qubits (and 10,000 gate operations) without needing any error correction. While most other quantum computing startups are still wrestling with fundamental problems in physics, the lingering challenges for IonQ are chiefly engineering ones.

Just as HPE makes it possible for its customers to apply multiple types of CPUs and GPUs to solve different kinds of problems, it sees a future where HPE customers can select quantum accelerators as easily any other type of compute and consume quantum computing on an as-a-Service basis. In a world where quantum is just one of many flexible compute options, HPE aims to take a leading role.

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Any quantum computer is going to need a conventional HPC system to be its interface to the “real world”, and as quantum systems increase the number of qubits, those demands will increase significantly. HPE already has a strong portfolio in this space which the Cray acquisition can only strengthen. We view QC as a task-specific processor – an accelerator – just like an FPGA, a GPU or the neuro-inspired analog AI processors that HPE is working on. If you have a problem that is best solved using QC, the host system can direct that task to the QC controller – the HPC system we mentioned just now – for translation into and back from, the quantum world”, explain Sandra Leong. “But more importantly, we don’t believe HPE should play in the QC space. The nature or QC means that it’s only going to be useful to solve problems that are themselves quantum systems. QC simply isn’t useful for big data or AI. We believe we can best serve our customers by providing more performant, more energy efficient classical systems. And, happily, our new architecture makes it very easy for anyone to come along with new accelerators, including quantum ones. It’s worth mentioning that Hewlett Packard Labs had a very productive QC program, that we shut down a few years ago for the very reasons mentioned above”.

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HP Labs- Computing with light?

“Light is very good for communication because the bits of lights don’t talk to each other,” Spiller explains. “You can send light over long distances – for instance, with optic fibers – and it preserves its state pretty well. It doesn’t communicate with other bits of light — or with much else, either. That’s why you can have many different conversations going on at the same time in the same telephone cable and they don’t interfere with each other.”

Therein lies the problem. “To do any kind of data processing, the bits of data need to be able to interact,” as they do in today’s computer systems, Spiller says. “So on the face of it, light isn’t good for information processing because the bits of light don’t talk to each other. We need a process to get pieces of light at the quantum level to talk to each other.”

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HPE Ventures invests-IonQ Unveils World’s Most Powerful Quantum Computer

“Demonstrating the first successful quantum logic gate in 1995 was almost an accident, but doing so opened a path forward towards deploying quantum computers on previously unsolvable problems,” said IonQ Co-Founder & Chief Scientist Chris Monroe. “The new system we’re deploying today is able to do things no other quantum computer has been able to achieve, and even more importantly, we know how to continue making these systems much more powerful moving forward.” One way is to fix errors through circuit encoding, capitalizing on a recent demonstration of quantum error correction in a nearly identical system. Monroe says “with our new IonQ system, we expect to be able to encode multiple qubits to tolerate errors, the holy grail for scaling quantum computers in the long haul.” This encoding requires just 13 qubits to make a near-perfect logical qubit, while in other hardware architectures it’s estimated to take more than 100,000.

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HP Inc Tech Takes-What is Quantum Computing?

Quantum computers can help us create more powerful encryption methods so we can better protect our personal information. Qubits can hold far more information than bits can, and so they’re a better data unit to be used for creating complicated encryption algorithms. Quantum computers could tremendously improve cybersecurity.

Quantum simulation may be the most important benefit of quantum computers. Because they can simulate quantum physics, researchers may be able to perform a greater variety of experiments involving the subatomic world. Chemists may be able to use quantum computers to simulate chemical reactions, which may help them create new medicines

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