Rigetti Computing launches 80-qubit processor
On February 15, Rigetti Computing launched a private beta version of its next-generation "Aspen-M" 80-qubit quantum computer. Aspen-M is the world's first commercial multi-chip quantum processor, which solves the key expansion challenge in the fault-tolerant quantum computing race. The Aspen-M processor uses Rigetti's proprietary multi-chip technology and is assembled from two 40-qubit chips.
Aspen-M quantum chip
Rigetti announced that it will work with multinational professional services company Deloitte and leading managed quantum service provider Strangeworks to use Rigetti's new scalable processor to explore quantum applications in material simulation, optimization, and machine learning.
In addition, a new Aspen system based on a single-chip 40-qubit processor was also released at the same time for users to use on the Rigetti Quantum Cloud Service (QCS), Strangeworks Ecosystem and Amazon Braket.
Improved speed, scale, and fidelity
These latest Rigetti Aspen superconducting processors have been improved in terms of qubit size, operating speed and fidelity-these three indicators are critical to unlocking a wide range of commercial value. In addition to doubling the size of the processor qubits over the previous generation, the systems driven by these processors also increase the quantum processing speed by 2.5 times and reduce read errors by up to 50%, thereby greatly Improve the reliability of the results of the quantum program.
Chad Rigetti, founder and CEO of Rigetti Computing, said: "With these systems, we have reached an important milestone in the emerging era of quantum dominance. Our machines are now at scale and speed to handle real data that supports high-impact applications. Set. We believe that these systems provide researchers and companies with the best platform to pursue quantum advantages on practical issues."
In internal testing, Rigetti used its new Aspen-M processor to perform machine learning tasks using data sets from the New York Stock Exchange. The task is to predict whether the stock market will close higher or lower the next day. Rigetti said that Aspen-M and a single 40-qubit system it tested both proved that quantum processing capabilities are comparable to industry-standard classic machine learning models. This is an early proof of Rigetti's scale advantage, and it lays the foundation for solving larger computational complexity problems that existing classic computers still cannot solve.
Rigetti also let Aspen-M run a quantum algorithm with 65 variables, and the processor completed the task in less than five minutes. This is important because, according to Riggetti, the quantum algorithm used in the test is too complex to be simulated on a classical computer. This type of variational algorithm can be applied to a range of industry use cases, including supply chain, logistics, and network optimization.
Scott Buchholz, Head of Quantum Computing, Government and Public Services Chief Technology Officer and Managing Director, said: "As quantum computing continues to evolve, organizations should explore the potential of quantum technology to understand how they can advance their business models in the future. At Deloitte, we are collaborating with different technology suppliers and our customers to combine our business and technical experience to define and design a technologically cutting-edge future. As part of this joint effort, we look forward to working with Strangeworks Explore Rigetti’s new architecture to help clients define the right problem set to advance their development."
William Hurley, Founder and CEO of Strangeworks, said: "The scalability and speed of Rigetti's new processor is impressive, opening doors to new possibilities for quantum application developers and researchers. This computing power enables Deloitte to Such enterprise-level companies are able to apply quantum computing to really important problems. We are very happy to work with Deloitte and Rigetti to create a new era of quantum application development."
Aspen-M is currently in the closed beta stage and is expected to be publicly available in the first quarter of 2022.
Rigetti detailed its long-term engineering roadmap when it announced plans to go public earlier this year. The goal of this startup is to build a 1000-qubit system by 2024. Two years later, Rigetti hopes to launch a system with four times the number of qubits.
Introducing a third state for qubits
At the same time, Rigetti proposed a ternary quantum bit qutrit. They said, "The simple structure of the transmon energy level gives superconducting qubits the unique ability to handle more states in a single circuit."
Only adding an additional state can turn their qubits into qutrit, which can not only increase the amount of information encoded in a single element, but also achieve technology that greatly reduces read errors.
Rigetti’s recent work shows how qutrit-qutrit gates can reduce the cost of decomposing a three-qubit gate (CCPHASE) into basic two-qubit components. This is partly due to the use of qutrit to access a larger state space-a single qutrit operation exists in SU(3), while two qutrit operations exist in SU(9)-in the case of two qubits, the dimensionality It has more than tripled.
Qutrit-the three-dimensional extension of qubits-can encode more than twice as much information in a typical two-state operation.
Rigetti now provides experimental access to qutrit operations through Quil-T (a pulse-level extension to the quantum instruction language Quil). In addition to the standard qubit calibration kit, users can also access a new set of gates between the first and second states of qutrit in most locations around the Rigetti device.
Rigetti said that for researchers exploring the frontiers of quantum computing and quantum physics, and those interested in traditional, qubit-based algorithms, access to the third state in their processors is very useful. For example, using carefully selected readout parameters, when choosing between |2> and |0>, the classification performance will be significantly better, instead of the default classification between |0> and |1>. Using this technology, by adjusting their reading system to determine the best qutrit state, thereby greatly reducing the reading error (in some cases the error rate can reach 60%). Rigetti has enabled this enhanced readout solution for all users who can use higher-level doors.
About Rigetti computing
Rigetti Computing is the pioneer of full-stack quantum computing. Since 2017, the company has been operating quantum computers on the cloud, and through its Rigetti Quantum Cloud Service (QCS) platform to provide services to global enterprises, governments and research clients. The company's proprietary quantum classic infrastructure provides ultra-low latency integration with public and private clouds to achieve high-performance practical quantum computing. Rigetti has developed the industry's first multi-chip quantum processor for scalable quantum computing systems. The company designs and manufactures its chips inside Fab-1, which is the industry's first dedicated and integrated quantum device manufacturing facility. Rigetti was founded by Chad Rigetti in 2013 and currently has more than 140 employees, with offices in the United States, United Kingdom and Australia.
Rigetti Computing announced in October that it had reached a final merger agreement with Supernova Partners Acquisition Company II, Ltd. (NYSE: SNII), a listed special purpose acquisition company. After the transaction is completed, the listed company will be named Rigetti Computing, Inc., and its common stock is expected to be listed on the New York Stock Exchange under the ticker symbol "RGTI."
link: [1]https://www.globenewswire.com/news-release/2021/12/15/2352647/0/en/Rigetti-Computing-Announces-Next-Generation-40Q-and-80Q- Quantum-Systems.html
[2]https://siliconangle.com/2021/12/15/rigetti-debuts-multi-chip-quantum-processor-80-qubits/
[3]https://medium.com/rigetti/beyond-qubits-unlocking-the-third-state-in-quantum-processors-12d2f84133c4
