OPX controllers coordinate the electrical signals, measurements and feedback needed to operate quantum experiments. The OPX1000 combines modular hardware with QUA programming and calibration tools; it is a control layer used with separately supplied quantum devices.
Record dates use UTC and show when an assessment or clarification was saved. Review dates show the evidence check. Earlier records were recovered from QubitWire’s source history; no earlier score movement is inferred.
No dated name or ownership transition is recorded here. An alias is a search aid, not evidence of a legal ownership relationship.
Product scope
Programmable pulse-control and readout electronics with real-time processing
A company profile may discuss several systems. Capabilities remain attached to the product and conditions named in each source; they do not transfer automatically to related organizations. A verified security relationship has not been attached to this record.
These source updates add context. QRank scores retain their existing assessment dates.
Quantum Machines · Partner-reported demonstration
Riverlane’s APS recap describes integration with Quantum Machines’ OPX1000 control platform and streaming memory for real-time quantum error correction.
Source checked Limits, research question & sources
This is Riverlane’s account of a joint demonstration; it is not an independent assessment of every component or a complete fault-tolerant product.
Question to follow: What was included in the latency boundary: routing, decoding, control or the full loop?
Quantum Machines joins Roadrunner Quantum Lab in New Mexico · Company-reported context
In an October 2026 company blog, Quantum Machines says it is establishing a presence at Roadrunner Quantum Lab in Albuquerque, including lab space, a local hire and an OPX control system. Treat this as a company-reported expansion in progress.
Source checked Limits, research question & sources
Do not imply the company facility is fully operational or silently promote future installation to completed deployment. Page contains mixed wording about facility opening; preserve company activity as in progress.
Question to follow: What installation and external-user access will the Albuquerque operation document?
September CUDA-Q interoperability demonstration · Existing event · source context
Quantum Machines’ October 2026 blog revisits its September Toronto demonstration of CUDA-Q integration with live qubits, its pulse processor and NVIDIA NVQLink. This is dated interoperability evidence, not a new October experiment or evidence of application-level quantum advantage.
Source checked Limits, research question & sources
Deduplicate existing September articles and partner announcements. Omit latency figures and first-ever marketing claims from profile facts; score remains unchanged.
Question to follow: What implementation details and independently reproduced end-to-end workloads follow?
Dated company evidence, its limits and the next test to follow. These notes do not change a QRank score.
Quantum MachinesQuantum control and classical orchestration
Sources reviewed 20 Oct 2026. Event dates remain attached to the original evidence.
Quantum Machines announced its acquisition of PCB Engineering in June 2026, adding engineering capacity in Budapest. Its control business connects classical processing with quantum experiments across hardware modalities. The acquisition is an organizational milestone, distinct from a measured improvement in quantum performance.
Control companies sit at an unusual junction: their systems must satisfy laboratory timing requirements while remaining supportable as commercial products. Adding engineers can help address that problem, but headcount and acquisition announcements cannot show that it has been solved. A useful profile follows the product after installation. How quickly can a customer reproduce a documented experiment? Which version of firmware, compiler and control program produced the result? Can the customer diagnose an intermittent failure without recreating the supplier’s laboratory? These questions also make comparison fairer across modalities. An ion experiment and a superconducting experiment may have very different timing needs, so a single advertised feedback number says little about suitability. Quantum Machines belongs in a control and integration comparison where reproducibility, supported interfaces and the cost of maintaining a working experiment carry explicit evidence.
For a reader evaluating Quantum Machines, the practical question is whether bringing board production closer to the control business changes delivery consistency or service turnaround. A useful next evidence check is specific: compare revision-controlled board qualification, field replacement times and controller availability before and after integration. An acquisition can secure engineering capability while leaving supply-chain bottlenecks or software integration unresolved. These are proposed tests for judging a later update, not claims that the company has already passed them.
Security status: No public security verified in reviewed material; directory/watch profile only
Facts, comparisons and next evidence
At a glance
label
Quantum role
value
Control orchestration
label
Evidence date
value
2026-06-17
label
Assessment action
value
Evidence enrichment
Dated milestones
date
2026-06-17
Date scope
source publication date; unknown if undated
event
PCB-business acquisition announced
status
Published primary evidence; retain the narrower maturity statement
what it does not establish
An acquisition can secure engineering capability while leaving supply-chain bottlenecks or software integration unresolved.
Quantum role
layer
Control orchestration
Question
Whether bringing board production closer to the control business changes delivery consistency or service turnaround.
Questions for comparison
Supported experimental control flow
Versioned software/hardware compatibility
Customer bring-up and support burden
Related approaches
name
Qblox
relationship
Proposed comparison of relevant dimensions; not a claim of equivalent products or a ranking
dimensions
Supported experimental control flow
Versioned software/hardware compatibility
Customer bring-up and support burden
name
SEEQC
relationship
Proposed comparison of relevant dimensions; not a claim of equivalent products or a ranking
dimensions
Supported experimental control flow
Versioned software/hardware compatibility
Customer bring-up and support burden
Limits and missing evidence
An acquisition can secure engineering capability while leaving supply-chain bottlenecks or software integration unresolved.
Post-acquisition product or support outcomes
Comparable latency under stated workloads
Independent customer integration report
What would change this assessment
trigger
Compare revision-controlled board qualification, field replacement times and controller availability before and after integration.
Evidence needed
Dated primary technical report, product specification or customer/issuer disclosure directly answering the test.
Test
Identify the configuration, time boundary and measured outcome; retain unsuccessful attempts and stated limitations.
Limit
An acquisition can secure engineering capability while leaving supply-chain bottlenecks or software integration unresolved.
A starting question
question
Is a quantum control company selling a quantum computer?
answer
Usually the control layer runs the experiment around the qubits: it sends pulses, reads measurements and makes classical decisions. Its value can be assessed without treating its customers’ processors as its own products.
Quantum MachinesPrivate industry context; no public security added
Sources reviewed 20 Oct 2026. Event dates remain attached to the original evidence.
Announced or reported: Quantum Machines announced the acquisition of PCB Engineering and associated engineering capacity in Budapest.
Still conditional: No incremental revenue, synergy amount or product-performance improvement is established by the acquisition announcement.
A control supplier’s growth can be followed through how well it supports customers after installation. The acquisition may expand engineering capacity, but the investor-facing question is whether that capacity improves product reliability, release cadence or deployment efficiency. A useful watch card should identify the integration work and the customer outcomes it is intended to support. It should also distinguish recurring product activity from custom engineering, since those business models scale differently. The next evidence would include versioned product releases, externally confirmed installation improvements and repeat customer use. Those operational signals are more informative than an unsupported market-share claim or a simple count of ecosystem partners. Financial terms should remain blank unless disclosed, and private-company coverage should avoid implying that the supplier has a public ticker or readily accessible market valuation.
Track operating integration and the economics of qualified board production. The concrete next evidence is: closed-transaction terms if disclosed and subsequent delivery, quality or service evidence. A capability acquisition can add working-capital and integration needs before reducing bottlenecks. This watch record should change when that evidence changes, with the original event and reporting period preserved so readers can distinguish a new outcome from a refreshed page.
Facts, comparisons and next evidence
At a glance
label
Commercial evidence stage
value
Supply-chain acquisition
label
Catalyst date
value
2026-06-17
label
Security treatment
value
Private/industry watch; no verified public security
Dated milestones
date
2026-06-17
event
Engineering acquisition
status
Supply-chain acquisition
Remaining condition
See this card’s remaining-condition panel for the complete unresolved scope.
Cash and revenue boundary
Question
Track operating integration and the economics of qualified board production.
risk
A capability acquisition can add working-capital and integration needs before reducing bottlenecks.
realized or announced
See this card’s announced-fact panel; the complete source-backed state is recorded there once.
still conditional
See this card’s remaining-condition panel; keep its qualifications attached to the fact.
What would change this assessment
Evidence needed
Closed-transaction terms if disclosed and subsequent delivery, quality or service evidence.
Test
Track operating integration and the economics of qualified board production.
Limit
A capability acquisition can add working-capital and integration needs before reducing bottlenecks.
Basis for comparison
dimensions
Delivery time
qualification yield
integration cost
rule
Compare the same period, currency, instrument or contract status. Unknown values stay blank; no cross-company score is supplied.
Limits and missing evidence
A capability acquisition can add working-capital and integration needs before reducing bottlenecks.
Does expansion improve repeatable delivery or add custom-service obligations?
Company evidence guideQuantum Machines: a calibration result is also a versioned software resultTrace a calibration claim through its controller, software versions, fit and final validation.Context reviewed +
Quantum Machines reported operating a Rigetti Novera processor with OPX1000 hardware and QUAlibrate software in May 2026, including a stated median two-qubit gate fidelity. The useful organization follow-up is not simply another fidelity card. It is a profile of the calibration workflow and the hardware-software combination that produced the result. Current documentation also contains release compatibility and network-configuration information, illustrating why an experimental control stack needs a version record as well as a product name.
Calibration is a chain of decisions. A routine measures a response, fits a model, chooses new parameters and checks whether the resulting operation is acceptable. When several routines depend on one another, an apparently small change can affect later measurements. A clear organization dossier should explain which parts of this chain are automated, which parameters are carried forward and how unsuccessful fits are handled. It should avoid using automation as a synonym for scientific validation. A fast routine can still optimise the wrong quantity if its assumptions are not appropriate for the device.
An illustrative review would compare two calibration runs performed on the same nominal processor at different times. The reviewer would ask for the software environment, controller release, device configuration, input parameters, fit diagnostics and final validation measurements. If one run improves while another degrades, the history should make it possible to identify whether the change came from a new routine, a new calibration state or a different sample of gates. That analysis is more informative than displaying a median alone. It also reveals why the spread and selection of measured operations matter.
The controller’s real-time role should be described separately from work performed by a host computer. A control language can execute feedback close to the experiment, while analysis and orchestration may run elsewhere. A performance claim should name the boundary being timed: a feedback response, one measurement sequence, an entire calibration workflow or a complete application. Readers should not infer that every stage has the same latency. The current documentation is the appropriate place to check interfaces and compatibility, while the experimental paper or report establishes the scientific result.
Sector
Hybrid quantum-classical control
Named stack
OPX1000 and QUAlibrate in vendor Novera report
Listing status
No direct listed security verified
Ticker
Not asserted
Benchmark status
Attributed vendor result; independent reproduction not performed
Provenance fields
Device, controller release, software environment, fit diagnostics and validation sample
Timing boundary
Feedback, sequence and complete workflow must be distinguished
Questions to take with you
Why can a software version affect a hardware result?
It can alter waveform construction, fitting, scheduling, parameter selection or result handling. A version record helps separate those changes from physical-device changes and makes a later comparison more meaningful.
What would make an automated calibration convincing?
A documented input state, explicit acceptance criteria, fit diagnostics, failure handling and independent validation measurements. Repeating the workflow across time or devices can show whether the result is robust.
Evidence context only. This guide does not change QRank scores or supply a current price.
Latest URL is mutable; preserve installed versions before reproducing an experiment.
SOURCE REVIEW
Hybrid control includes hardware and calibration
Quantum Machines offers OPX control hardware, QUA pulse programming and QUAlibrate calibration software. Its Hybrid Control approach coordinates quantum operations with the classical processing needed during an experiment.
What this establishes—and its limits
A best-case latency, customer quotation or supported architecture is not an end-to-end benchmark. Quantum Machines is a control supplier and is distinct from silicon-computing company Quantum Motion.
Evidence to look for next
Measure the complete readout-to-feedback path and calibration workload with the chosen processor and software.
Sources reviewed . This review does not create or change a QRank assessment.
Programmable pulse-control and readout electronics with real-time processing
Who should look closer
Quantum hardware laboratories that need coordinated pulse sequences, measurement-driven feedback and automated calibration across an experimental setup.
QubitWire’s editorial assessment of practical fit.
Read OPX1000 specifications
Public hardware and programming documentation supports technical evaluation, including a route to request the full specification sheet. Physical control experiments require a controller and compatible laboratory hardware.
Quantum Machines reports 99.5% median two-qubit gate fidelity across 11 couplings of a nine-qubit Rigetti Novera using OPX1000 and QUAlibrate. Separately, a UCLA preprint uses OPX feedback to stabilize a silicon double quantum dot.
The Novera result is a vendor-reported system integration result, not a universal controller benchmark. The August 2026 silicon-dot study is a preprint and does not establish large-array performance.
The next question to watch
Can larger independent deployments maintain calibrated performance and predictable feedback timing as qubit count and control-system complexity increase?
Quantum Machines describes a September CUDA-Q demonstration linking live qubits, control electronics and GPU computing. Its timing claim measures a specific exchange.
Business + Policy · Published · Source report · Sources checked
The reported withdrawal puts the cost of building quantum machines in focus as rivals make bigger manufacturing bets.
Open research questions
Editorial questions for this profile. No reviewed closure decision has been recorded; unanswered questions do not lower the official score.
Open research question
Can larger independent deployments maintain calibrated performance and predictable feedback timing as qubit count and control-system complexity increase?
What evidence would help
A source addressing this question must identify the named system, experiment or deployment, its conditions, measured outcome and remaining limitations. Are performance limits stated under realistic loads and operating conditions?
What would resolve it?
An editorial review must explain which part of this question the evidence resolves. A roadmap or an announcement alone does not close it.
No resolved, partial or disputed outcome is asserted without a reviewed transition and its evidence.
Which named system or service can I use under the documented access route?
What evidence would help
Check the current terms for read opx1000 specifications. Identify the system version, eligibility, restrictions and whether the result used hardware or simulation.
What would resolve it?
Current primary documentation must identify the offering, eligible user and access conditions. An unspecified company-level access claim is insufficient.
No resolved, partial or disputed outcome is asserted without a reviewed transition and its evidence.
Are the interfaces compatible with your existing hardware?
What evidence would help
Provide the source location, relevant product or generation, workload, resource constraints and reported uncertainty. Keep measurements, simulations and announced targets distinct.
What would resolve it?
A source reviewer must map the evidence to this exact scope. Missing disclosure remains unknown; it is not technical failure.
No resolved, partial or disputed outcome is asserted without a reviewed transition and its evidence.
Questions are drawn from the existing brief and sector reading guide. Research brief reviewed 23 Sept 2026. Following stores a local bookmark; it does not send email alerts or imply a scheduled review.
Since your review
Scope: Quantum Machines. Reading a page never marks its records reviewed.
Keep a baseline and explicitly mark the evidence you have reviewed. This optional journal stays in this browser.
Existing material records remain available after setup. Routine rechecks and initial entries are excluded from material counts.
These are the existing assessment claims and their recorded criterion links. A source link is not an independent replication. New research does not change these published ratings automatically.
Official documentation specifies an eight-slot OPX1000 chassis, low-frequency and microwave modules, multi-chassis synchronization and communication interfaces.
The offered OPX1000 integrates pulse control, measurement and real-time processing with QUA and calibration software; named customer testimonials are hosted by the vendor.
A QM team at Rigetti reported operating a nine-qubit Novera with OPX1000 and QUAlibrate, achieving 99.5% median two-qubit fidelity over eleven available couplings; Rigetti provided an attributed supporting statement.
Independent researchers used Quantum Machines OPX for feedback stabilization of a silicon double quantum dot and reported noise suppression. This is a preprint, not peer-review confirmation or a large-array demonstration.
The partners report OPX1000–GPU integration at Diraq with implemented readout, calibration and initialization applications; future error correction remains a forward-looking capability.
Repeated coverage can describe the same experiment. The assessment does not contain a reviewed claim-family grouping, so the number of links is never shown as a replication count. Source pages can change independently of this saved assessment; the original source text is not archived here.
Official documentation specifies an eight-slot OPX1000 chassis, low-frequency and microwave modules, multi-chassis synchronization and communication interfaces.
The offered OPX1000 integrates pulse control, measurement and real-time processing with QUA and calibration software; named customer testimonials are hosted by the vendor.
A QM team at Rigetti reported operating a nine-qubit Novera with OPX1000 and QUAlibrate, achieving 99.5% median two-qubit fidelity over eleven available couplings; Rigetti provided an attributed supporting statement.
Independent researchers used Quantum Machines OPX for feedback stabilization of a silicon double quantum dot and reported noise suppression. This is a preprint, not peer-review confirmation or a large-array demonstration.
The partners report OPX1000–GPU integration at Diraq with implemented readout, calibration and initialization applications; future error correction remains a forward-looking capability.
Quantum Machines announced its acquisition of PCB Engineering in June 2026, adding engineering capacity in Budapest. Its control business connects classical processing with quantum experiments across hardware modalities. The acquisition is an organizational milestone, distinct from a measured improvement in quantum performance.
Riverlane’s APS recap describes integration with Quantum Machines’ OPX1000 control platform and streaming memory for real-time quantum error correction.
In an October 2026 company blog, Quantum Machines says it is establishing a presence at Roadrunner Quantum Lab in Albuquerque, including lab space, a local hire and an OPX control system. Treat this as a company-reported expansion in progress.
Quantum Machines’ October 2026 blog revisits its September Toronto demonstration of CUDA-Q integration with live qubits, its pulse processor and NVIDIA NVQLink. This is dated interoperability evidence, not a new October experiment or evidence of application-level quantum advantage.
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