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Digital and Quantum computers, part 8

Comparing Digital and Quantum Computers, Part 8: Quantum Computer technologies

Everyone in the IT world is wondering how big a threat quantum computers pose to cryptography and how to deal with the problem. This series of articles tries to explain the problem in a popular way. After estimation of power consumption gain an overview of the technologies studied and used.

Technology overview

A person interested in the issue of quantum computers should take a look at the usability of the technologies of the mentioned devices. There is such a list here, but it does not try to be exhaustive. Rather, it is an overview of those available and used. In addition, the volume of the device includes the value including all supporting components (cooling including compressors, vacuum pumps, control, measurement, classical computers for subsequent calculations, and others). Based on the power consumption, it is possible to estimate the size of the actual computing components. Such an estimate is subject to error, because without specific knowledge of the design, it is not possible to obtain a sufficient amount of specific data.

TechnologyWorking temperatureComputer power consumption Cooling power consumptionSystem power consumptionDevice volumeNumber of qubits

Superconducting qubits

(IBM, Google)

10–20 mK~mW 15–25kW15–25kW~1–2m350-127

Trapped ions

(IonQ, Honeywell)

μK~mW~20kW ~25kW~1m310-32

Neutral atoms

Optical traps

μK~mW5–10kW5–10kW < 1m350-200
Photonic qubitsroom~mW0.5–1kW4–5kW< 1m3 50-200

Spin qubits

in semiconductors

(Si, SiGe)

10–100 mK~mW ~mW10–20kW<1m310-50

Such a view leads to the impression that quantum technologies themselves are huge complexes. However, the situation is significantly different. Current quantum processors, although they are huge compared to digital processors, are relatively small. But the ratio of the volume of the cooling system to the volume of the quantum processor itself is approximately in the range of 107:1 to 108:1. The largest volume in the system is therefore occupied by the cooling and insulation system. For comparison, an overview of the dimensions of the processors themselves and the cooling systems.

TechnologyQPU volumeCooling volumeRatio
Superconducting qubits~0.1 cm310–30 m3108:1
Spin qubits (Si)~0.05 cm35–20 m3108:1
Ion traps~5 cm3~0.5–2 m3105–106:1
Neutral atoms~1 cm3~0.3–1 m3105–106:1
Photonic chips~0.5 cm3~0.1 m3104–105:1

If we were to talk only about the technologies and the operating temperatures used, the following overview can be provided from the available sources. Again, this overview is not perfect and contains only publicly available information. Such an overview shows that some types of quantum circuits are not suitable for computers at the current level of knowledge, others require too low temperatures and therefore significant demands on energy resources for adequate cooling.

TechnologyStateQubit typeTypical operating temperatureNote
Superconducting Josephson Circuits
(SQUID)
ProductionMacroscopic superconducting circuit 10–20 mKIBM, Google, Rigetti
Ion trapsProductionInternal state of the ion~300 K (ions effectively ~mK) IonQ, Quantinuum
Neutral atoms
(Rydberg)
ProductionExcited atoms1–10 μKQuEra, Pasqal
Linear optical QCActive researchPhotons300 K (detectors 1–4 K)Xanadu
NV (nitrogen vacancy)
centers in diamond crystals
Production / sensorsElectron spin 300 K (better <10 K)RT qubits
Spin qubits in semiconductors
(Si, GaAs)
Active researchElectron spin10–100 mK Intel , academic
Donor qubits
(P:Si, Bi:Si)
Active researchNuclear/electron spin10–100 mK Very long coherence
Topological qubits
(Majoran fermions)
ResearchNon-Abelian quasiparticles10–50 mK No working qubit yet?
Bose–Einstein condensate (BEC)ResearchCollective state10–100 nKSimulation
Optical gratingsResearchNeutral atomsnK–μKQuantum simulators
CQED (atoms in cavities)Active researchAtom–photonμK–mKStrong bond
Quantum dots
(charge position)
ResearchCharge<100 mKStrong decoherence
Quantum dots
(spintronics)
Active researchSpin10–100 mKVery promising
Electrons to heliumResearchSpin/orbital<100 mKExtremely low noise
Fullerene traps
(spintronics)
ResearchSpin<10KESR manipulation
Carbon nanospheres
(spintronics)
TheoreticalSpin<10KMaterials research
Molecular magnetsResearchMolecular spin<1KShort coherence
Magnon qubitsResearchSpin wave<1KHybrid systems
Mechanical qubits
(optomechanics)
ResearchVibration modes<100 mKHybrid
Exciton qubitsResearchExciton<10KShort lifespan
PolaritonsResearchLight–matter4–300KAnalog simulations
Superfluid helium
(phonons, vortices)
ResearchCollective fashions<1K Low noise
NMR QC – solutionHistoricalNuclear spins300KNot scalable
Solid-phase NMR
(phosphorus in Si)
Active researchNuclear spin<1K High stability
Hybrid atom–photonic systemsResearchMixedμK–mKQuantum networks
Floquet qubitsTheoretical/researchPeriodically controlledPlatform dependent Topological phases

Based on the information provided, it is possible to very roughly extrapolate the possible existence of quantum computers. If they could be built, given the progress in miniaturization, they could possibly achieve the following parameters. Such an estimate shows that theoretically we would be able to develop some computers, but the energy requirements would be extreme. The problem with such considerations is the limitation given by the estimate of the volume of the system. Currently, the volumes available include cooling technologies, insulation and support systems, so such an estimate is quite problematic. Estimates of the volume based on current information (this may change significantly) are then approximately as follows:

TechnologyProbability of CRQC 2035–2040Working temperatureEstimation of physical qubits System volume estimationSphere equivalent (diameter)Note
Superconducting qubits
(Josephson)
High10–20 mK1–20 million300–1000 m3 8–12 mFastest roadmaps, high cooling overhead
Ion trapsMedium – highions μK, HW ~300 K1–10 million200–600 m3 7–10 mExcellent coherence, slower gates
Neutral atoms
(Rydberg)
Medium – high1–10 μK1–10 million150–500 m3 6–9 mHigh qubit density
Topological/cat qubitsMedium (uncertain)10–50 mK0.1–1 million100–300 m3 6–8 mPotentially low overhead, but unverified
Photonic QC
(error-corrected)
Medium300 K (detectors 1–4 K) 10–100 million (virtual)50–200 m34–7 mNo deep cryogenics
Spin qubits in Si
(CMOS)
Medium10–100 mK1–10 million100–400 m3 6–9 mHigh integration, slower development

To be continued in the next section Quantum Computer evaluation (April 6th 2026)

References:

  1. Superconducting Qubits: Current State of Play
    Source: Home page webu
  2. High-fidelity quantum logic gates using trapped ions
    Source: Home page webu
  3. Programmable Rydberg atom arrays for quantum computing
    Source: Home page webu
  4. Photonic quantum computing: from fundamental principles to experimental implementations
    Source: Home page webu
  5. Diamond NV centers for quantum sensing and computing
    Source: Home page webu
  6. Silicon quantum electronics
    Source: Home page webu
  7. Quantum computing with donor spins in silicon
    Source: Home page webu
  8. Topological quantum computation
    Source: Home page webu
  9. Bose–Einstein condensation in dilute gases
    Source: Home page webu
  10. Cavity quantum electrodynamics: Strong coupling and applications
    Source: Home page webu
  11. Quantum dot qubits for quantum computation
    Source: Home page webu
  12. Electrons on helium: a platform for quantum computing
    Source: Home page webu
  13. Fullerene-based spin qubits: principles and applications
    Source: Home page webu
  14. Molecular nanomagnets as qubits for quantum computing
    Source: Home page webu
  15. Optomechanical quantum systems and mechanical qubits
    Source: Home page webu
  16. Exciton-polariton qubits in semiconductor microcavities
    Source: Home page webu
  17. Superfluid helium as a platform for quantum simulations
    Source: Home page webu
  18. NMR quantum computation in liquid-state systems
    Source: Home page webu
  19. Hybrid atom–photon quantum networks
    Source: Home page webu
  20. Floquet engineering of quantum systems: topological phases
    Source: Home page webu

Autor článku:

Jan Dušátko
Jan Dušátko

Jan Dušátko has been working with computers and computer security for almost a quarter of a century. In the field of cryptography, he has cooperated with leading experts such as Vlastimil Klíma or Tomáš Rosa. Currently he works as a security consultant, his main focus is on topics related to cryptography, security, e-mail communication and Linux systems.

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