Quantum machines launches an open source working frame

Quantum machinesAnd it is an provider of advanced quantum control solutions in the classic quantity, today he announced his release Disasters (Which the company is speaking a detector), an open source working frame to calibrate quantum computers. Cut the time of calibration of the quantum computer from hours to minutes.

By treating one of the most important slicing of computing, Quantum machines“A new framework enables fast and normative calibration and enhances a global environmental system to share calibration and progress protocols

The frame significantly reduces calibration and provides a comprehensive solution to the creation, implementation and participation of calibration protocols through different quantum computing platforms. By creating an open environmental system, Conflibrate allows researchers and companies all over the world to build on each other’s progress, and accelerate the path to practical quantum computers.

To create and maintain the performance of the computer, the calibration must be done not only once, but frequently during operation to compensate for the system’s drift.

As quantum systems grow, the calibration challenge becomes significantly more complicated. For example, a 100 -distance computer calibration can take up from a zero point up to two days, and even re -calibrates a calibration system already may take an hour or more. This becomes impractical when scaling to future systems with hundreds of thousands of Qubits.

“We are interested in the period of calibration and the quality of calibration, two things that sometimes collide, and this affects the performance of the quantum computer as a whole,” CTO, CTO of the quantum machines, said in a statement. “We have built an open source solution because we believe that this is a challenge that society can solve together. Researchers in both academic and industry are constantly developing new algorithms and protocols for calibration. One day, a Boston team may create that the path that increases its challenge in the basic approach that increases cooperation in the approach that is the approach to cooperation in reality in the approach.

To address this basic challenge, quantum machines have developed a detector, an open source calibration frame that transforms quantum calibration from a set of isolated textual programs into a standard cooperative system. Qualibrate enables quantitative researchers and engineers to create reusable calibration ingredients, integrate them into complex workflow, and carry out calibration through an intuitive interface. The statute removes the complications of devices, allowing the teams to focus on the logic of the quantum system instead of low -level details.

“Confernate was a transformative company for our company,” John Martinis, CTO OF QALAB, said in a statement. “Complete the capabilities of automatic calibration now fully calibrating in less than 10 minutes – tasks that require up to two hours of manual work. This efficiency enhances our team to focus on speeding up our QPU development.”

In a recent demonstration at the Israeli Quantured Computing Center (IQCC), Contenibrate completed a multi -track calibration from Qubits in just 140 seconds. The result shows the speed and efficiency of the system in realistic conditions.

The open nature of the open source and standard engineering means that when researchers develop new protocols for calibration, these innovations can be shared immediately and verify their health and building by the wider quantum computing community.

Companies can also develop royal solutions on their head that benefit from advanced methods such as quantum system simulation and deep learning algorithms. This creates an environmental system where the main calibration can be shared publicly and enables specialized tools that pay the limits of performance.

Along with the frame, quantum machines issue the first graphs for calibration for the superconductor computers, providing a complete solution to the calibration that can be published immediately and customized.

The chart reinforces the Conflibrate parallel capabilities to reduce calibration times. In the future, quantum machines and NVIDIA develop software libraries that will merge fullness with accelerators such as NVIDIA DGX Quantum, allowing calibration times faster and calibration of upper sincerity using machine learning models.

Quantitative machines were established in early 2018 by Itamar Sivan (CEO), Yunatan Cohen (CTO), and Nevim Offic (Senior Engineer). All of them are a doctorate in physics with experience in quantum computing and quantum electronics.

Since its foundation, the company raised $ 280 million of leading money, including PSG Equity, Red Dot Capital Partners, Intel Capital, TLV Partners and Battery Ventures. The company employs about 170 people, half of them in Israel, with the rest in Europe, the United States and other countries.

Quantum computing researchers and engineers can start using Conflibrate today by accessing an open source warehouse on: https://github.com/qua-platform/qualibrate.