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China team builds world’s fastest quantum memory to connect old data with qubits


Tuesday, June 9, 2026

Researchers at Zhejiang University in China have developed the world’s first superfast quantum random access memory (QRAM), addressing a major hurdle the deploying quantum computers in real-world environments. The chip will enable quantum computers to work with data stored in classical binary formats and solve major problems plaguing the world today.

Regarded as the next frontier of computing, quantum computing leverages quantum states of matter to perform complex calculations at blazing-fast speeds. Instead of storing information either as 0 or 1, as happens in binary bits, quantum computers use quantum bits or qubits that can store values of of both 0 and 1 as well as values between them.

Regarded as the next frontier of computing, quantum computing leverages quantum states of matter to perform complex calculations at blazing-fast speeds. Instead of storing information either as 0 or 1, as happens in binary bits, quantum computers use quantum bits or qubits that can store values of of both 0 and 1 as well as values between them.

The video player is currently playing an ad. This allows quantum computers to process information exponentially faster than classical computers. Even the world’s fastest supercomputers operating today fall exceptionally short of the computation prowess that a quantum computer with a few hundred qubits possesses. However, deploying quantum computers in the real world has a major bottleneck.

Data in binary bits Although universities and Big Tech firms have successfully demonstrated quantum computations and continue to do so, these experiments are carried out in isolated environments with necessary supporting instrumentation. Data is prepared for loading onto qubits, and when computations are completed, it is read out by devices optimized for this role.

However, the real-world data we have accrued over the past few decades is stored in binary form. So, quantum computers need an interface that can prepare the classical binary data into a quantum-compatible format that can be loaded onto qubits.

While the computation itself is extremely fast, the conversion of classical data into a quantum-ready format is a major bottleneck that companies will face when looking to deploy quantum computers in the real world.

This is the role of the QRAM, which has been discussed theoretically on multiple occasions, but practical demonstrations have remained limited. The research team at Zhejiang University in China has now developed the world’s first superfast QRAM that can facilitate this data conversion.

What can the QRAM do? In a paper published by the researchers, they confirmed that they had implemented the QRAM architecture in a superconducting quantum processor. The QRAM is designed to allow processors to access and retrieve data in superposition. The researchers successfully ran a prototype in which the QRAM shared 4-bit and 8-bit data with the superconducting quantum chip.

This shows that the QRAM can handle multiple data inputs at a time, resolving a major bottleneck in deploying quantum computers in the real world. For instance, if deployed for a drug discovery task, the QRAM will help extract molecular topological features from chemical databases and provide millions of entries in superposition states for the quantum computer to process.

Since the simulation considers all possible combinations of the molecule and then computes the solution, it is extremely likely to arrive at the correct one. At the same time, the computation will be completed far more quickly than supercomputers can today for drug discovery.

Similar applications are possible when deploying AI, as the QRAM will help navigate the challenges of big data in natural language processing and image identification. Classical supercomputers don’t even come close to the capabilities of quantum computers. With the first superfast QRAM deployed, it is only a matter of time before quantum computers start using classical data.

By: DocMemory
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