Quantum Computing News and Discussions

firestar464
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WetOS.
weatheriscool
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Bigger and better quantum computers are possible with new ion trap dubbed the Enchilada
https://phys.org/news/2023-08-bigger-qu ... ilada.html
by Troy Rummler, Sandia National Laboratories

Sandia National Laboratories has produced its first lot of a new world-class ion trap, a central component for certain quantum computers. The new device, dubbed the Enchilada Trap, enables scientists to build more powerful machines to advance the experimental but potentially revolutionary field of quantum computing.

In addition to traps operated at Sandia, several traps were delivered to Duke University in July for analysis and testing. Duke and Sandia are research partners through the Quantum Systems Accelerator, one of five U.S. National Quantum Information Science Research Centers.

An ion trap is a type of microchip that holds electrically charged atoms, or ions. With more trapped ions, or qubits, a quantum computer can run more complex algorithms.

The Enchilada Trap can store and transport up to 200 qubits, an increase from the maximum of 32 in Sandia's previous version, the Roadrunner Trap. Both versions are produced at Sandia's Microsystems Engineering, Science and Applications fabrication facility.
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IonQ Announces 2nd Quarter 2023 Financial Results
https://www.hpcwire.com/off-the-wire/io ... l-results/
August 10, 2023
COLLEGE PARK, Md., Aug. 10, 2023 — IonQ (NYSE: IONQ), a leader in the quantum computing industry, today announced financial results for the quarter ended June 30, 2023.

“This was another landmark quarter for IonQ, most notably with a record-setting $28 million in bookings, bringing the total to over $32 million in the first half,” said Peter Chapman, President and CEO of IonQ. “We are now well on our way to our revised, higher bookings expectations of $49 million to $56 million for the year. We are also within striking range of our goal of $100 million in cumulative bookings within the first three years of IonQ’s commercialization, starting in 2021.”

“Our impressive second quarter results come on the heels of us achieving our 2023 technical target of 29 algorithmic qubits (#AQ) seven months early. As our path to #AQ 64 and quantum advantage comes into clearer focus, we have seen both public and private institutions investing not just in our current Forte platform, but in IonQ’s technical roadmap. Our track record of success is beginning to speak for itself in the public markets, and we are relentlessly focused on bringing broad quantum advantage to all our customers.”

Second Quarter 2023 Financial Highlights

IonQ recognized revenue of $5.5 million for the second quarter, which is above the high end of the previously provided range, and represents 111% growth compared to $2.6 million in the prior year period. This reflects some progress for one of IonQ’s customer contracts taking place earlier than expected, shifting revenue into the second quarter.
IonQ achieved $28.0 million in new bookings for the second quarter, and $32.2 million year-to-date.
Cash, cash equivalents and investments were $509.2 million as of June 30, 2023.
Net loss was $43.7 million and Adjusted EBITDA loss was $19.4 million for the second quarter. Exclusions from Adjusted EBITDA include a non-cash loss of $15.5 million related to the change in the fair value of IonQ’s warrant liabilities.

Commercial Highlights

IonQ and QuantumBasel partnered to jointly establish a European quantum data center, which will be the future home of IonQ systems capable of up to #AQ 35 and #AQ 64.
IonQ signed a memorandum of understanding with South Korea’s Ministry of Science and ICT to become a core provider of education for Korean students, researchers, and industry professionals. IonQ also met with South Korea’s President, Yoon Suk Yeol, to discuss how IonQ quantum computing can help accelerate the nation’s economy.
IonQ Forte access was expanded to all IonQ direct access customers, offering the power of #AQ 29 to developers around the world. IonQ recently published benchmarks validating IonQ Forte’s #AQ 29 performance level.
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Revolutionary hardware unveils new quantum computing model
https://phys.org/news/2023-08-revolutio ... antum.html
by Los Alamos National Laboratory

A potentially game-changing theoretical approach to quantum computing hardware avoids much of the problematic complexity found in current quantum computers. The strategy implements an algorithm in natural quantum interactions to process a variety of real-world problems faster than classical computers or conventional gate-based quantum computers can.

"Our finding eliminates many challenging requirements for quantum hardware," said Nikolai Sinitsyn, a theoretical physicist at Los Alamos National Laboratory. He is co-author of a paper on the approach in the journal Physical Review A. "Natural systems, such as the electronic spins of defects in diamond, have precisely the type of interactions needed for our computation process."

Sinitsyn said the team hopes to collaborate with experimental physicists also at Los Alamos to demonstrate their approach using ultracold atoms. Modern technologies in ultracold atoms are sufficiently advanced to demonstrate such computations with about 40 to 60 qubits, he said, which is enough to solve many problems not currently accessible by classical, or binary, computation. A qubit is the basic unit of quantum information, analogous to a bit in familiar classical computing.
Longer-lived qubits

Instead of setting up a complex system of logic gates among a number of qubits that must all share quantum entanglement, the new strategy uses a simple magnetic field to rotate the qubits, such as the spins of electrons, in a natural system. The precise evolution of the spin states is all that is needed to implement the algorithm. Sinitsyn said the approach could be used to solve many practical problems proposed for quantum computers.
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IBM makes major leap in quantum computing error-detection
https://phys.org/news/2023-08-ibm-major ... ction.html
by Peter Grad , Phys.org

Quantum computing is on the verge of catapulting the digital revolution to new heights.
Turbocharged processing holds the promise of instantaneously diagnosing health ailments and providing rapid development of new medicines; greatly speeding up response time in AI systems for such time-sensitive operations as autonomous driving and space travel; optimizing traffic control in congested cities; helping aircraft better navigate extreme turbulence; speeding up weather forecasting that better prepares localities facing potential disaster, and optimizing supply chain systems for more efficient delivery times and cost savings.

But we're not there yet. One of the greatest obstacles facing quantum operations is error-correction.

The price for speedier operations in quantum systems is a higher error rate. Quantum computers are highly susceptible to noise such as electromagnetic signals, temperature change and disturbances in the Earth's magnetic field. Such noise triggers errors.

Qubits, the components particular to quantum computing, themselves are prone to error. Faults in frequencies, energy levels and coupling strength can cause miscalculations.

Unlike standard computer bits that are copied reliably most of the time, qubits, by their very nature, cannot be cloned without errors being introduced. Bits store easily replicated binary digit states while qubits store data in a complex mathematical quantum state that can be disrupted during copying. Additionally, qubits age quickly and deterioration can introduce errors.
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Time to update this graph, I think.
:)


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wjfox
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^ I've just done a blog, explaining this in layman's terms.

https://www.futuretimeline.net/blog/202 ... erence.htm


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Nanotechandmorefuture
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I'm more interested in how gaming will be when these can be easily made to home pc without thinking about whether those delicate looking photon chips will break or not. How many photons will it take to render highest graphics possible while keeping the computer chill?
weatheriscool
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IBMs Progress to Practical Fault Tolerant Quantum Computers
September 26, 2023 by Brian Wang
Many experts predict that practical fault tolerant quantum computing (FTQC) will require millions of physical quantum bits (qubits) but in August, 2023 IBM scientists published the discovery of new error correction codes that work with ten times fewer qubits. Practical error correction is far from a solved problem. However, these new codes and other advances across the field are increasing our confidence that fault tolerant quantum computing isn’t just possible, but is possible without having to build an unreasonably large quantum computer.
https://www.nextbigfuture.com/2023/09/i ... uters.html
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