Circuit analysis
OpenQASM 3.0 input, ideal execution, gate and depth analysis, and inspection of the circuit structure that mapping decisions depend on.
Tvarit · Research simulation and architecture analysis
Tvarit is the working tooling Advay uses to test architecture assumptions before hardware exists and to fold measured data back into the next design iteration. The same environment is available to external researchers for circuit analysis, architecture mapping, resource projection, noise sensitivity and evidence-labelled reporting.
Output boundary
Simulation and projection are not physical processor measurements.Every result identifies whether it is ideal, simulated, projected, derived from a reference profile, or connected to measured data.Available research workflows
This is the production environment, not a demonstration sandbox — the interface below runs against the live validation service. Available capability depends on your access level, the platform configuration and the reference profile you select.
OpenQASM 3.0 input, ideal execution, gate and depth analysis, and inspection of the circuit structure that mapping decisions depend on.
Topology-aware mapping, routing implications, resource projection and comparison against declared architecture profiles.
Exports that state whether each figure is ideal, simulated, projected, profile-derived or measured — in PDF, DOCX, HTML, JSON and CSV.
Interpretation requirement. A result from this environment must not be described as execution on SQPU256 or any other Advay physical QPU unless the report explicitly identifies a measured hardware backend and records the relevant test configuration.
Tvarit access
Individual and academic tiers are self-served. Institutional profiles, API volume, custom architecture definitions and technical support are scoped under an agreement. Hardware development, fabrication and SQPU collaboration are separate engagements and are never included in a software subscription.
How this connects to the hardware
Tvarit is useful precisely because it is disciplined about its own limits: it evaluates the choices available before fabrication, records the assumptions behind every number, and updates those models when physical measurement contradicts them. That loop is what makes the SQPU development programme reviewable.