What to expect from a data center or cloud in quantum computing?


by Analytics Insight

March 17, 2022

Is quantum computing the future of cloud computing and data centers? Here we discuss its meaning.

Quantum computing is a rapidly evolving technology that harnesses the laws of quantum mechanics to solve problems too complex for classical computers. Quantum computing stays outside of the traditional landscape when it comes to data centers. Quantum computing technology usually draws the attention of developers and the cloud, but analysts predict it could still be years away from practical application. Quantum computing could enable these developers to push increasingly complex performance boundaries.

Simulate and access quanta with cloud computing:

Quantum computing systems are likely to be deployed over cloud connections. This is due to the prohibitive cost for companies that have their quantum computing systems and must rely on pooled access via a cloud connection.

The cloud plays two key roles in quantum computing. The first is to provide an application development and testing environment for developers to simulate the use of quantum computing by standard computing resources. The second is to provide access to some quantum computers, as was common a generation ago, mainframe leasing. This improves the affordability of quantum computers, since multiple users can increase machine utilization.

However, classical simulations of quantum algorithms using large numbers of qubits are not practical. So a classic simulation of a 50-qubit quantum computer would require a classic computer with about 1 petabyte of memory. This requirement doubles with each additional qubit.

Organizations can use quantum computing to support last-mile optimization, encryption, and other computationally intensive problems. This technology could also support teams in logistics, cybersecurity, predictive device maintenance, weather forecasting, and more.

However, there are some downsides to quantum computing in the cloud. Developers should exercise caution when experimenting with applications that contain sensitive data. Also, when a quantum developer wants to submit an order via quantum services in the public cloud, a machine may not be immediately available.

Making quantum computing a reality in the data center:

We are still ten years away from quantum computing in the data center. This is a very complex technology that takes time to mature. The future is already here – it’s just not evenly distributed.

Quantum computing at scale in data center infrastructures will transform data center architecture from both networking and security perspectives. New concepts such as data teleportation and entanglement will open up for massive scalable and energy efficient networks while keeping the data secure through quantum encryption at every physical layer.

These architectures will not only revolutionize the data center in terms of computing capacity, but also enable use cases that are not possible in the classical field and make massive compute, storage and information exchange capabilities a reality.

Creating a roadmap for business and identifying the key areas where quantum computing can come into play will help structure future products and new plans for quantum-enabled infrastructure. Establish a dedicated team that regularly researches and develops ideas to bring the technology to commercial use cases.

Finally, organizations must consider accessing and integrating with strategic assets via a cloud-enabled connection to a quantum-enabled data center. While we may still be a decade away from quantum computing, planning and preparing for the data center of the future will be of paramount importance to take full advantage of this technology. It is important to prepare now to be ready when these technologies become commercially available at scale.

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Analytics insight

Analytics Insight is an influential platform dedicated to learnings, trends and opinions from the world of data-driven technologies. It oversees developments, recognition and achievements of artificial intelligence, big data and analytics companies around the world.

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