Editorial Feature

How Cryogenics is Unlocking Quantum Computing

Quantum computers promise immense processing power by tapping into unique quantum mechanical phenomena like superposition and entanglement. However, harnessing these delicate quantum effects requires supreme finesse and an intricately designed environment typically achieved at cryogenic temperatures approaching absolute zero. This critical need for extreme cold has made the specialized field of quantum cryogenics indispensable for manifesting quantum computing's transformational potential.

How Cryogenics is Unlocking Quantum Computing

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How Cryogenics Unlock Quantum Computing

Cryogenics refers to the production and effects of extremely low temperatures. It is vital to quantum computing as quantum systems tend to operate in the millikelvin range - merely thousandths of a degree above absolute zero (-273 °C or 0 Kelvin). This seemingly small temperature differential has monumentally significant ramifications for quantum technology. Even minute thermal vibrations at 4 Kelvin (K) temperatures can disrupt qubits, causing the collapse of quantum superposition states into classical binary states through decoherence.

Therefore, the qubit processor chips operate at 20-100 millikelvin – just millionths of a degree above absolute zero, to preserve coherence long enough for quantum computations. At these extreme cryogenic temperatures, materials become superconductors with zero electrical resistance, essential for quantum computing techniques like topological qubits and quantum annealers. Cooling to near absolute zero also protects the fragile quantum states from thermal noise for sufficiently long coherence times to manipulate the qubits.

Cryogenics provides a stable and ideal environment analogous to a vacuum chamber that prevents quantum computers from collapsing. All leading quantum computing companies like Google and Intel rely on advanced cryogenic systems to enable their superconducting quantum processors.

Key Cryogenic Components

Achieving millikelvin temperatures requires a multi-stage cooling process involving pulse tube cryocoolers and dilution refrigerators. Here are the key cryogenic technologies powering quantum computers:

Pulse Tube Cryocoolers

The workhorse for the first cooling stage is compressed helium pulse tube cryocoolers. Pulse tubes can reliably cool to around 4 Kelvin (-269.15 C°), with the best commercial units reaching 1 Kelvin. These cryocoolers use gas compression and expansion principles similar to conventional refrigeration systems but avoid mechanical moving parts in the cold tip that would generate vibrations.

Dilution Refrigerators

Dilution refrigerators are the centerpiece of quantum cryogenic systems, using a blend of helium isotopes (helium-3 and helium-4) to cool down to 100 or even 10 millikelvins. This extreme sub-kelvin cold stabilizes delicate quantum states in qubits by eliminating thermal noise.

Dilution refrigeration works by capitalizing on the distinct phase separation between two helium isotopes at low temperatures. The net cooling effect arises from the endothermic dilution process when the isotopic phases come into contact in the mixing chamber, allowing heat extraction from experimental samples connected to this coldest spot.


Cryo CMOS refers to integrated control chips built using complementary metal-oxide-semiconductor fabrication processes to manipulate qubits or process measurement data at deep cryogenic levels alongside the quantum processor. This contrasts with current control schemes where room-temperature electronics sit far from the refrigerated qubits.

Positioning Cryo CMOS closer to quantum chips inside the same fridge compartment allows control latency to be slashed while saving overhead wiring complexities when scaling to more qubits. However, lowering power dissipation remains the key design constraint for cryo CMOS due to cooling capacity limits.

High-Purity Metals and Cryogenic Cables

Cryogenic cables, designed to remain flexible at ultra-low temperatures, efficiently transmit readout and control signals to qubits, facilitating the scaling of quantum computers with large qubit grids without compromising thermal budgets or introducing vibrations.

Thermal Isolation and Shielding

Thermal anchoring and radiation shielding constitute crucial passive elements facilitating reliable cryogenic cooling. All active electronics inside refrigerators dissipate some heat, which must be effectively guided out through robust thermal links between temperature stages, avoiding accumulation in ultra-cold qubit regions. Additionally, external thermal noise sources can excite qubits. So, cryostats are enveloped in layered radiation shields, with central qubit areas isolated using filters.

These static cryo-engineered components maintain stable millikelvin environments and dissipate heat essential for viable quantum computing.

Key Industry Players Advancing Cryogenics in Quantum Computing

The immense technical challenges of cryogenic cooling have restricted quantum computer development, mostly to large corporate labs or specialized startups. Here are some of the major players employing cryogenics for quantum information systems:

Google Quantum AI

Google maintains an advanced quantum computing laboratory developing superconducting quantum processors up to 72 qubits. Their latest generation "Sycamore" chip runs at just ten millikelvins to demonstrate quantum advantage calculations.

Google also actively researches cryo-CMOS electronics to integrate classical controls within the quantum cryostat to reduce wiring bottlenecks for scaling qubit numbers. It recently achieved a breakthrough in quantum computing by developing a cryogenic-compatible CMOS control circuit, addressing a key limitation in current systems.

This innovation represents the first instance of a CMOS cryogenic quantum control IC interacting with real qubits. The resulting IC consumes less than 2 mW, representing significant progress in scalable quantum computing and overcoming obstacles in heat dissipation and CMOS transistor behavior at cryogenic temperatures.


Intel is investing heavily in quantum computing R&D, including advancing cryogenic solutions for housing and controlling qubits. They have developed specialized cryo-CMOS integrated circuits like the Horse Ridge controller chip optimized to manipulate superconducting qubits at 4 Kelvin temperatures with minimal heat dissipation.

Intel also employs high-electron-mobility transistor (HEMT) amplifiers to boost faint qubit signals to readable outputs. Additionally, they use advanced Bluefors dilution refrigerators to cool prototype silicon spin qubit arrays to below 1 Kelvin to unlock novel quantum properties.

Intel plans to integrate more capabilities onto Horse Ridge and eventually onto the qubit chip, supporting the development of large-scale commercial quantum systems.

Delft Circuits

Delft Circuits specializes in flexible cryogenic cabling solutions essential for reading and controlling large grids of qubits integrated into quantum processors. Their patented Cri/oFlex cryogenic cables have streamlined quantum computer design by providing flexible, high-performance microwave cables with reduced form factors, qubit growth, scalability, integrated signal attenuation and filtering, and low thermal conductivity.

These cables, offered in three product families (Cri/oFlex 1, Cri/oFlex 2, Cri/oFlex 3), are not only making waves in quantum computing but also finding applications in astrophysics, optics, and instrumentation, exemplified by their use in NASA's BICEP project.


Quantum-computing startup SeeQC developed integrated controller ICs for manipulating qubits using a novel rapid single flux quantum (SFQ) logic approach. Their clocked SFQ control chip technology demonstrates immense improvements in speed (>40GHz clock) and 1000x energy efficiency compared to conventional CryoCMOS solutions while operating at quantum refrigeration temperatures. This allows tight integration with qubits to slash control latency overheads.

It reduces delays, costs, and complexity by eliminating room-temperature control electronics, uses digital control signals to resist interference, and includes a demultiplexer for distributing a single control signal to multiple qubits, addressing scaling issues.

Seeqc aims to pave the way for building practical quantum computers with 100,000 to 1 million physical qubits.Top of Form

The Road Ahead

Quantum computing is projected to be a multi-billion-dollar industry within the next decade. But this hinges on cryogenic innovations enabling reliable qubit control, error correction, and, most importantly, scalability.

Although extreme cooling poses monumental engineering challenges as quantum computational networks scale up, the last few years have witnessed remarkable interdisciplinary innovations tackling these cryogenics bottlenecks head-on. With quantum computing pipelines projected to massively disrupt industries within the decade, we stand at the cusp of a computing revolution.

But enabling this landmark breakthrough remains deeply contingent on continued progress in quantum cryogenics - the vital background ingredient for unleashing quantum computing's immense latent potential.

Outlining The UK's National Quantum Strategy

References and Further Reading

Dargan, J. (2023). Cryogenics: A Short History & The Implications It Has On The QC Industry. [Online]. Available at: https://thequantuminsider.com/2023/09/12/cryogenics-a-short-history-the-implications-it-has-on-the-qc-industry/

Le Guevel, L. (2023). Cryogenic electronics for quantum engineering (Doctoral dissertation, Université Grenoble Alpes [2020-....]).https://theses.hal.science/tel-04166255/file/LE_GUEVEL_2023_archivage.pdf

Samuel K. Moore. (2019). Google Builds Circuit to Solve One of Quantum Computing's Biggest Problems. [Online]. Available at: https://spectrum.ieee.org/google-team-builds-circuit-to-solve-one-of-quantum-computings-biggest-problems

Maurizio Di Paolo Emilio. (2022). Flexible Cryogenic Cables Simplify Quantum Computer Design. [Online]. Available at: https://www.eetimes.com/flexible-cryogenic-cables-simplify-quantum-computer-design/

Charles Q. Choi. (2023). Chip Charts Course for Quantum-Computer Scaling. [Online]. Available at: https://spectrum.ieee.org/quantum-computer-chip

Samuel K. Moore. (2019). Intel Unveils Cryogenic Chip to Speed Quantum Computing. [Online]. Available at: https://spectrum.ieee.org/intel-unveils-cryogenic-chips-to-speed-quantum-computing

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Owais Ali

Written by

Owais Ali

NEBOSH certified Mechanical Engineer with 3 years of experience as a technical writer and editor. Owais is interested in occupational health and safety, computer hardware, industrial and mobile robotics. During his academic career, Owais worked on several research projects regarding mobile robots, notably the Autonomous Fire Fighting Mobile Robot. The designed mobile robot could navigate, detect and extinguish fire autonomously. Arduino Uno was used as the microcontroller to control the flame sensors' input and output of the flame extinguisher. Apart from his professional life, Owais is an avid book reader and a huge computer technology enthusiast and likes to keep himself updated regarding developments in the computer industry.


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