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#quantinuum

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Ross Duncan

Hello quantum friends. My team want to hire someone to work on adding QEC support to our quantum compilation stack. The ideal person will know about fault tolerant quantum computing and be keen to learn about how modern compiler tools work. The other way around might work too. The job is based in Cambridge, UK.

Please share!

#job #jobad #quantinuum #qec #quantumcomputing #quantumsoftware
jobs.eu.lever.co/quantinuum/d0

jobs.eu.lever.coQuantinuum - Research Software Engineer - Quantum SoftwareQuantinuum are hiring a research software engineer to work on compilation of fault-tolerant quantum software for the next generation of quantum computers. Quantum software relies on quantum error correction to work. However, quantum software engineers don’t want to think about error correction: they want the compiler do it for them. So we’re upgrading our TKET compiler do this, and we’re looking for help. As part of our Cambridge-based compiler team, you will contribute to our quantum compilation toolchain, with a focus on how implementing fault-tolerant protocols in the compiler. You’ll stay informed about the latest research on quantum error correction codes, fault-tolerant circuit design, and quantum compilation methods, as well as conducting original research of your own. You’ll work with scientists and engineers from all across Quantinuum to integrate all of our expertise into high-quality software for our team, and our customers. If you are excited by possibilities of quantum
Public
Ross Duncan

JOB AD:
We are looking for someone who can optimise the shit out of quantum circuits. If that is you, then you might consider applying for this job:
jobs.eu.lever.co/quantinuum/95

jobs.eu.lever.coQuantinuum - Research Software Engineer - Quantum SoftwareWe are hiring a Research Software Engineer to join our Cambridge-based Quantum Software team. As a member of our Quantum Software R&D team, you will focus on optimising quantum circuits. Your responsibilities will include developing software for compiling quantum circuits and designing and implementing algorithm-specific quantum circuit constructions. You will have the freedom to think independently and creatively within the team, making a real impact. Your work will be motivated by the requirements of application-focused research groups, and your contributions will be integrated into our quantum software ecosystem, including TKET, our quantum compiler, and used by quantum programmers around the world.
#quantinuum#quantum#quantumcomputing
Public
Ross Duncan

Do you like quantum programming languages? Do you want a job? If both answers are yes, this might interest you.
jobs.eu.lever.co/quantinuum/7a

jobs.eu.lever.coQuantinuum - Research Software Engineer - Quantum SoftwareWe are hiring a Research Software Engineer to join our Cambridge-based Quantum Software team. As a member of our Quantum Software R&D team, you will focus on developing novel quantum programming languages and compilers. You will have the freedom to think independently and creatively within the team, making a real impact. Your work will be motivated by the requirements of application-focused research groups, and your contributions will be integrated into our full stack, which includes the H-series quantum hardware and TKET compiler.
#quantum#quantumcomputing#quantinuum
Public
Ross Duncan

Quantum computational advantage is a fraught business. If you have too few qubits, your quantum computer can be simulated classically. If you have too little gate fidelity, your quantum computer can be simulated classically. If your connectivity is too sparse, your quantum computer can be simulated classically [*].

However! Quantinuum H2's system, now running at 56 qubits with >99.8% fidelity, can do things that cannot be simulated classically. Here is the first demonstration.
arxiv.org/abs/2406.02501

Ofc, random circuit sampling is not exactly *useful* but we expect to show some more interesting things in the coming months.

[*] This is a bit more subtle than the other claims; see the paper.

arXiv.orgThe computational power of random quantum circuits in arbitrary geometriesEmpirical evidence for a gap between the computational powers of classical and quantum computers has been provided by experiments that sample the output distributions of two-dimensional quantum circuits. Many attempts to close this gap have utilized classical simulations based on tensor network techniques, and their limitations shed light on the improvements to quantum hardware required to frustrate classical simulability. In particular, quantum computers having in excess of $\sim 50$ qubits are primarily vulnerable to classical simulation due to restrictions on their gate fidelity and their connectivity, the latter determining how many gates are required (and therefore how much infidelity is suffered) in generating highly-entangled states. Here, we describe recent hardware upgrades to Quantinuum's H2 quantum computer enabling it to operate on up to $56$ qubits with arbitrary connectivity and $99.843(5)\%$ two-qubit gate fidelity. Utilizing the flexible connectivity of H2, we present data from random circuit sampling in highly connected geometries, doing so at unprecedented fidelities and a scale that appears to be beyond the capabilities of state-of-the-art classical algorithms. The considerable difficulty of classically simulating H2 is likely limited only by qubit number, demonstrating the promise and scalability of the QCCD architecture as continued progress is made towards building larger machines.
#quantinuum#quantum#quantumcomputing
Public
Chuck Darwin

Intel Enters the Quantum Computing Horse Race With 12-Qubit Chip

#Intel has built a #quantum #processor called #Tunnel #Falls that it will offer to research labs hoping to make the revolutionary computing technology practical.

The Tunnel Falls processor, announced Thursday, houses 12 qubits, the fundamental quantum data processing elements.

It's a major step in the chipmaker's attempt to develop quantum computing hardware it hopes will eventually surpass rivals.

One notable feature of quantum computing is the tremendous variety of approaches. Intel is using electrons, storing data via quantum mechanical #spin, that's analogous to the two directions a top can spin.

#IBM and #Google are using small electrical circuits of #superconducting materials.

#IonQ and #Quantinuum manipulate #charged #atoms stored in a #trap.

Other approaches involve #neutral atoms and even #photons.

cnet.com/tech/computing/intel-

CNETIntel Enters the Quantum Computing Horse Race With 12-Qubit ChipBut before quantum physics revolutionizes computing, Intel and rivals will have to learn how to make vastly more powerful machines.
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