Nvidia, one of the world’s largest technology companies, released a report on September 30th detailing how it has investigated Quantum Computing.
In this step, add Other entities already experiencing quantum infrastructureIONQ, IBM, HSBC Bank, and even the US Equity and Value Committee. uu. (seconds).
From Nvidia, they pointed out that “quantum computing promises to transform industry,” but also guaranteed this development It depends on solving three important problems: “Error correction, designing qubit simulations, optimizing circuit compilation tasks.”
While there are no quantum computers that are capable of breaking the encryption that generally protects Bitcoin and cybersecurity, NVIDIA’s advances in quantum computing They provide clues as to how that scenario evolves.
Error correction research, circuit optimization, and quantum systems accelerate the development of more stable and scalable processors. Potentially reduce time and costs To reach a more powerful machine.
While this does not mean that Bitcoin is vulnerable today, technologies like those developing NVIDIA could reduce the distance to computers that can challenge current encryption systems.
Correcting quantum errors, the first target in NVIDIA
Cubits are the fundamental unit of quantum computing, and unlike classic bits, they can be in several states at the same time. This property allows mass parallel calculations Very sensitive to noise and errors.
It’s as if a choir of voices where quantum qubits sing harmoniously to solve complex problems at once, but the slightest whisper of the environment can be done. Ignore and cause an error.
To accurately counter those “whispers” in the environment, the Quantum Error Correction Technique (QEC) uses a set of operations in an nvidia document Essential details for handling noise:
QEC is a way for researchers to distill thousands of noisy physical qubits with a small number of logical qubits without noise, deciphering data in real time, and detecting and correcting errors when they occur.
Nvidia Quantum Report.
It’s not just a lot needed And the system becomes useful.
To optimize this task of fixing quantum computing errors, Nvidia collaborated with the Quantum Software Institute at the University of Edinburgh (UK).
They developed a new decoding method called Autodec through the Nvidia nominated “Cuda-QEC QEC” library.
The decoding method for this area is a designed technique Interpret and fix errors that occur in qubits due to noiseensuring that quantum calculations are accurate and reliable.
Therefore, according to the report, the Autodec method He was able to “replicat the speed and accuracy” of decoding quantum errors. Thanks to the parallel decoding function of the GPU (graphics processing device) that distributes tasks simultaneously in many processing centers.
At the same time, Nvidia worked with the Quera company to develop a decoder based on artificial intelligence (AI).
These AI models were achieved according to the report, with a “50x increase in decoding speed and improved accuracy.”
The logic behind it is that once trained AI models on many heavy computing before, once trained, Performs much faster inference in real timewhat is essential to the best distance code expected to be used in future quantum computers, says Nvidia.
Nvida’s second focus: Improve quantum circuits
Another frontline for Nvidia work is quantum circuit optimization, i.e. Translation of quantum algorithms into available physical hardware.
This process means assigning a logical qubit (a type of qubit) to a physical location within the chip. This is a very complicated problem similar to organizing puzzle pieces in millions of possible combinations.
In collaboration with Q-Ctrl and the Oxford Quantum Circuit (OCQ) Company, Nvidia has created an accelerated GPU mechanism to offer “Up to 600 times faster” According to the report, on the compilation task.
The last quantum link studied by Nvidia
Finally, Nvidia led her efforts Numerical simulation of quantum systemsan important step in understanding and predicting quantum processors, and how to design more stable qubits.
Researchers have seen it in collaboration with the University of Sherbrooke and Amazon’s Web Services (AWS). Up to 4,000x performance» When studying qubits transmitted to resonators, it is a type of important experiment to improve the quality of qubits.
Transcon is Not sensitive to electrical noiseand a resonator is a circuit that acts as a “resonant box” for controlling and measuring qubits.
By accelerating error correction, circuit compilation, and device simulation, the company We aim to reduce bottlenecks The key to “race” for building practical quantum computers.
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