*Above – Device schematic of the Zuchongzhi quantum processor. (a) The Zuchongzhi quantum processor consists of two saphire chips. One carries 66 qubits and 110 couplers, and each qubit couples to four neighboring qubits except those at the boundaries. The other hosts the readout components and control lines as well as wiring. These two chips are aligned and bounded together with indium bumps. (b) Simplified circuit schematic of the qubit and coupler*

The computational cost of the classical simulation of this task is estimated to be 2-3 orders of magnitude higher than the previous work on 53-qubit Sycamore processor. They estimate that the sampling task finished by Zuchongzhi in about 1.2 hours will take the most powerful supercomputer at least 8 years. Our work establishes an unambiguous quantum computational advantage that is infeasible for classical computation in a reasonable amount of time. The high-precision and programmable quantum computing platform opens a new door to explore novel many-body phenomena and implement complex quantum algorithms.

The Zuchongzhi quantum processor consists of 66 qubits, arrayed in 11 rows and 6 columns forming a two dimensional rectangular lattice pattern as depicted in the device schematic. The quantum processor uses Transmon qubits, which are essentially non-linear oscillators with their non-linearity originating from superconducting Josephson effect.

Each qubit, except those at the boundaries, has four tunable couplers to couple to its nearest neighbors, with tunable coupling that can be turned on and off with fast control. The tunable couplers are also Transmon qubits, with frequencies several GHz higher than that of the data qubits and always stays at ground states. A magnetic flux bias line is provided for each coupler to fast tune the coupling strength g between neighboring qubits continually from ∼ +5 MHz to ∼ −50 MHz. Each qubit dispersively couples to a readout resonator which couples to a Purcell filter shared between six qubits, frequency multiplexing is used to readout the qubit states simultaneously.

All the quantum circuit components of our quantum processor are fabricated on two separate sapphire chips, which are then stacked together with the indium bump flip-chip technique. The quantum processor chip is wire bounded to a circuit board, mounted into a well shielded cryostat, and connected to room temperature control electronics through various microwave components in the wiring.

All the 66 qubits and 110 couplers on the quantum processor function properly. Rough calibration results for all these 66 qubits, including their decoherence time T1 (average 30.6 microseconds at idle frequencies), single-qubit gate (average 99.86%), two-qubit gate (average 99.24%), readout (average 95.23%), are provided in the Supplemental Material. In this work, they select 56 qubits to demonstrate the random circuit sampling, which are optimized to achieve an optimal computational complexity in the classical simulation.

They designed, fabricated, measured, and benchmarked a state-of-the-art 66-qubit superconducting quantum processor that is fully programmable through electric control. They were able to achieve high-fidelity logic operations of the full quantum circuit and eliminate the unwanted cross talk. The experimental results of random quantum circuit with 56 qubits and 20 cycles on Zuchongzhi quantum processor established a new record to challenge the classical computing capability. The performance of the whole system behaves as predicted when system size grows from small to large, confirming the highfidelity quantum operations and low correlated errors on the Zuchongzhi processor. The quantum processor has a scalable architecture that is compatible with surface-code error correction, which can act as the test-bed for fault-tolerant quantum

computing. They expect this large-scale, high-performance quantum processor could enable them to pursue valuable NISQ quantum applications beyond classical computers in the near future.

Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.

Known for identifying cutting edge technologies, he is currently a Co-Founder of a startup and fundraiser for high potential early-stage companies. He is the Head of Research for Allocations for deep technology investments and an Angel Investor at Space Angels.

A frequent speaker at corporations, he has been a TEDx speaker, a Singularity University speaker and guest at numerous interviews for radio and podcasts. He is open to public speaking and advising engagements.

Can it mine but coin?

No, quantum computers wouldn’t help with building a holo deck. The ideal way to do it would be “utility fog” (you can Google that for more info about that). But that would be tiny robots using traditional computers. For that case, quantum computers wouldn’t help.

Will we be able to build a real holodeck with quantum computers?

The one impact they would have is to force the world to switch to new algorithms for public key cryptography. Which will be inconvenient. But certainly can be done. There’s no need to switch for private key cryptography or for cryptographic hash functions. Quantum computers can’t attack those.

one trick pony.

Quantum computing isn’t quite as general as it might seem from the hype. There are VERY few problems where it will be faster than normal computing. And it isn’t clear how much of an impact those few problems will have.

For example, it might be able to simulate protein folding faster and more accurately than traditional computers. But if you want to know the biological effects of that protein, you’re still going to have to make it and inject it into cells or mice. So predicting how it will fold is helpful, but is only a small part of the whole research process. So it may only be a slight aid to medical research.

The same is true for other optimization problems. If you can solve Traveling Salesman Problems perfectly for N cities on a traditional computer, then you can do 2 times N cities on a quantum computer. That’s nice. But not very revolutionary. To go above 2*N, you’ll have to solve it approximately, rather than perfectly. And for that, it is unknown whether quantum computers have any advantage at all over traditional computers.

So giant quantum computers will be nice to have. But it isn’t clear they’ll have much impact on the world.

I'd argue net+ Fusion energy should meet all of those objective criteria as well or better.

"the one technology" – the opening of Space meets every element of your criteria, with technologies less exotic, more anticipated … and more feared.

Hmmm… peer review not found.

Code by AI and problems solved at a rate mankind cannot phantom. Seeing over the time horizon, material science like never before thought possible, and medical breakthroughs. All and many more are possibilities.

Yea all those young Pakistani and Indian mathematicians LOL

How many people exist who are capable of writing code for a quantum computer? What will the foundational operating system look like?

I am keeping a sharp eye out for the crème de la crème of young Pakistani and Indian mathematicians…

Also, of all the technologies that Brian follows here, quantum computing is the one capable of the most disruption, opening up fields once deemed impossible. It is the one technology that I (1) most greatly anticipate, and (2) most greatly fear.

Skynet does not approve…

On the one hand, you might as well go for a SC architecture since you already need to cool your qubits down for coherence. On the other hand, it probably explodes the complexity of the problem you are trying to solve…