Ibm_Heron_R2

IBM Quantum Heron (r2): Scaling Performance

IBM Quantum Heron (r2) Active

The IBM Quantum Heron (r2) represents a significant iteration in superconducting quantum processors, offering 156 physical qubits optimized for high-fidelity computations and serving as a cornerstone for IBM's modular quantum architecture.

IBM Superconducting transmon Active Physical qubits public access confidence: high

The IBM Quantum Heron (r2) processor stands as a pivotal development in the landscape of superconducting quantum computing, embodying IBM's relentless pursuit of scalable and high-performance quantum hardware. As a data analyst evaluating quantum systems, understanding the nuances of such processors is critical for assessing their potential impact on various computational challenges. Heron (r2) is not merely an incremental update; it signifies a refined manufacturing process and targeted improvements over its predecessor, Heron (r1), aiming to deliver enhanced coherence and gate fidelities that are essential for pushing the boundaries of quantum computation.

At its core, Heron (r2) leverages IBM's established superconducting transmon technology, a robust and widely adopted approach in the field. This technology forms the bedrock of IBM's quantum computing efforts, known for its ability to host a significant number of qubits while maintaining a degree of control and coherence necessary for complex algorithms. The 'r2' designation, often seen in hardware development, indicates a second revision or generation, implying a cycle of learning, optimization, and refinement based on operational data and manufacturing advancements from earlier versions. This iterative development is crucial in a rapidly evolving field like quantum computing, where each generation seeks to overcome limitations and improve upon the performance metrics of the last.

The primary metric that immediately captures attention for Heron (r2) is its impressive count of 156 physical qubits. This number is not just a figure; it represents the raw computational capacity available for executing quantum circuits. In a gate-based quantum computing paradigm, physical qubits are the fundamental units that hold quantum information and participate in gate operations. The sheer number of qubits in Heron (r2) positions it as a powerful engine for exploring quantum advantage in various domains, particularly in simulations where larger problem sizes can be mapped onto the quantum hardware. Furthermore, the architecture of Heron (r2) is explicitly designed with enhancements for error suppression, a critical feature given the inherent fragility of quantum states. This focus on error suppression, even at the physical qubit level, underscores IBM's commitment to improving the reliability and accuracy of quantum computations, paving the way for more robust algorithms and potentially reducing the overhead required for future error correction schemes.

From an analytical perspective, Heron (r2) is positioned as a workhorse for high-fidelity computations, particularly those geared towards achieving quantum advantage in simulations. This includes applications in materials science, chemistry, and condensed matter physics, where the ability to accurately model complex quantum systems can lead to groundbreaking discoveries. The balance between scale (156 qubits) and quality (improved error characteristics) is a key trade-off that IBM has carefully managed with this revision. It aims to provide researchers and developers with a platform that is not only large enough to tackle meaningful problems but also reliable enough to yield trustworthy results. This strategic positioning makes Heron (r2) a vital component of the IBM Quantum fleet, accessible through the IBM Quantum Platform and Qiskit Runtime, enabling a broad community of users to experiment with and advance the state of quantum computing.

Key metrics

Physical qubits
156
Number of physical qubits available for gate operations
Benchmark headline
3.7
EPLG: 3.7e-3 (2025) | CLOPS: 300K-340K (2025)
Error-correction readiness
15/100
Heuristic score from topology + mode + error hints
Historical importance
0/100
Heuristic score from milestones + roadmap language
Native gates
SX | RZ | ECR
Gate alphabet you compile to
Connectivity
Tunable couplers
Mapping overhead + routing depth sensitivity

Technical specifications

Spec Details
System ID IBM_HERON_R2
Vendor IBM
Technology Superconducting transmon
Status Active
Primary metric 156 physical qubits
Metric meaning Number of physical qubits available for gate operations
Qubit mode Gate-based with physical qubits; enhanced for error suppression
Connectivity Tunable couplers
Native gates SX | RZ | ECR
Error rates & fidelities Two-qubit error: 1.81e-3 to 2.75e-3 median (2025) | Readout error: 9.399e-3 to 1.031e-2 (2025)
Benchmarks EPLG: 3.7e-3 (2025) | CLOPS: 300K-340K (2025)
How to access Via IBM Quantum Platform
Platforms IBM Quantum Platform | Qiskit Runtime
SDKs Qiskit
Regions us-east | eu-west
Account requirements Free signup
Pricing model Pay-per-minute
Example prices $96/min pay-as-you-go (2025) | $48/min premium (2025)
Free tier / credits 10 min/month free (open plan)
First announced 2024-07
First available 2024-07
Major revisions Manufacturing improvements (2024)
Retired / roadmap Active; basis for scaling to 2026
Notes 156 qubits confirmed in fleet; maintenance notes in 2025

System profile

The IBM Quantum Heron (r2) processor is engineered to deliver a robust and high-performance quantum computing experience, building upon years of IBM's expertise in superconducting technology. As a data analyst, dissecting its capabilities requires a close look at its core specifications and performance metrics, which collectively define its utility and potential impact.

Qubit Architecture and Mode: At the heart of Heron (r2) are its 156 physical qubits. These are the fundamental building blocks of the quantum processor, each capable of holding and processing quantum information. The term 'physical' is crucial here, distinguishing them from 'logical' qubits, which are theoretical constructs protected by error correction. Heron (r2) operates in a gate-based mode, meaning computations are performed by applying a sequence of quantum gates to these physical qubits. A significant architectural enhancement in Heron (r2) is its design for error suppression. This is not full fault tolerance, but rather an optimized design that aims to minimize the propagation and impact of errors at the hardware level, thereby improving the overall fidelity of quantum operations and extending the coherence times of the qubits. This focus on intrinsic error reduction is vital for running deeper and more complex circuits before the onset of significant decoherence.

Connectivity and Native Gates: The processor features a tunable coupler connectivity topology. Tunable couplers are a sophisticated mechanism that allows for dynamic control over the interaction strength between adjacent qubits. This flexibility is a significant advantage, as it enables researchers to optimize qubit-qubit interactions for specific gate operations, reducing crosstalk and improving gate fidelity. It also offers greater flexibility in circuit routing and mapping, which can be critical for efficiently executing complex algorithms. The native gate set for Heron (r2) includes SX, RZ, and ECR gates. This set is known to be universal, meaning any arbitrary quantum operation can be decomposed into a sequence of these fundamental gates. The SX gate is a single-qubit gate often used for rotations, RZ is a Z-axis rotation, and ECR (Echoed Cross-Resonance) is a high-fidelity two-qubit entangling gate. The quality and speed of these native gates directly impact the overall performance and accuracy of any quantum algorithm run on the system.

Error Rates and Fidelities (2025 Targets): For any quantum system, error rates are paramount. Heron (r2) targets significant improvements in 2025, with median two-qubit error rates ranging from 1.81e-3 to 2.75e-3. These figures represent the probability of an error occurring during a two-qubit gate operation. Lower numbers indicate higher fidelity, which is crucial for running longer and more complex quantum circuits. For context, a two-qubit error rate of 1.81e-3 means that, on average, less than two errors occur per thousand two-qubit gate operations. Similarly, the readout error is targeted at 9.399e-3 to 1.031e-2. Readout error refers to the probability of incorrectly measuring the state of a qubit. Both these metrics are critical for the reliability of quantum computations, as errors accumulate rapidly in quantum circuits. While the facts state 'similar errors' to r1, the 'higher qubits than r1' combined with these specific targets indicate a concerted effort to maintain or improve quality at scale, which is a significant engineering feat.

Benchmarks (2025 Targets): To quantify performance beyond raw error rates, IBM utilizes specific benchmarks:

  • EPLG (Error Per Layer of Gates): Targeted at 3.7e-3. EPLG measures the average error rate per layer of gates in a specific benchmark circuit. A lower EPLG indicates that the system can execute more layers of gates before errors accumulate to an unacceptable level, directly correlating to the achievable circuit depth and complexity.
  • CLOPS (Circuit Layer Operations Per Second): Targeted at 300K-340K. CLOPS is a throughput metric, indicating how many circuit layer operations the processor can execute per second. A higher CLOPS value means that the system can process quantum circuits faster, reducing the overall execution time for complex algorithms and enabling more rapid iteration in research and development.

These benchmarks, particularly the CLOPS metric, highlight Heron (r2)'s optimization for speed and efficiency in executing quantum circuits, making it suitable for iterative algorithm development and rapid prototyping.

System Limits and Access: Heron (r2) offers practical operational limits designed to facilitate extensive research and development. The system allows for unlimited shots per job, though this is time-based, meaning users are charged for the duration of their computation rather than a fixed number of measurement repetitions. This model provides flexibility for experiments requiring extensive statistical sampling. The achievable circuit depth and duration are targeted at up to 5000+ gates in 2025, indicating the system's capability to execute very deep quantum circuits, which are often necessary for complex algorithms like quantum simulations or optimization problems. Furthermore, the system aims for a queue wait time of less than 1 hour, a crucial operational metric for researchers who require timely access to hardware for their experiments. There are no other significant operational limits noted, suggesting a relatively unconstrained environment for quantum exploration.

Purpose and Trade-offs: Heron (r2) is explicitly designed for high-fidelity computations aimed at achieving quantum advantage in simulations. This means it's particularly well-suited for problems where the quantum nature of the system being simulated is critical, such as in chemistry or materials science. The processor embodies a strategic trade-off: it offers higher qubits than r1 but with similar errors, effectively balancing scale and quality. This approach allows IBM to push the boundaries of qubit count while maintaining a level of fidelity that makes the computations meaningful. This balance is critical for advancing towards practical quantum applications, as both sufficient qubit count and low error rates are prerequisites for tackling real-world problems.

Generation lineage (family-level)
Heuristic chain based on common naming. Verify by revision/date for strict claims.
Related systems (same vendor)
Cross-system comparison (same vendor)
System Status Primary metric
IBM Quantum Condor Demonstrated (not public) 1121 physical qubits: 1121
IBM Quantum System Two (QS2) Active 399+ physical qubits (modular): 399+
IBM Quantum Heron (r3) Active 156 physical qubits: 156
IBM Quantum Heron (r1) Active 133 physical qubits: 133
IBM Quantum Eagle Active (limited) 127 physical qubits: 127
IBM Quantum Hummingbird Retired 65 physical qubits: 65

Access & pricing

How you access it
  • Publicly accessible via the IBM Quantum Platform.
  • Access is facilitated through the IBM Quantum Platform and Qiskit Runtime.
  • Available in multiple regions: us-east and eu-west.
  • Primary SDK for interaction is Qiskit, IBM's open-source quantum computing framework.
  • Requires a free signup for an IBM Quantum account.
  • Benefits from improved manufacturing processes over its predecessor (Heron r1).
  • Part of the broader IBM Quantum fleet, offering diverse hardware options.
  • Users can leverage Qiskit Runtime for optimized execution of quantum programs.
How costs sneak up
  • Pricing model is pay-per-minute for hardware usage.
  • Example pay-as-you-go rate: $96/minute (2025 target).
  • Example premium plan rate: $48/minute (2025 target), offering a reduced cost.
  • Cost drivers are primarily usage time and the chosen plan type (e.g., pay-as-you-go vs. premium).
  • A free tier is available, offering 10 minutes per month for users on the open plan.
  • Minimum billing increment is 1 second, ensuring precise cost tracking.
  • Enterprise-level pricing and custom quotes are available for larger organizations.
  • Pricing structure encourages efficient circuit design and execution to manage costs.

Status timeline

The development and deployment of the IBM Quantum Heron (r2) processor are integral to IBM's ambitious quantum roadmap, showcasing a continuous cycle of innovation and refinement. Understanding its timeline provides crucial context for its current capabilities and future trajectory.

The IBM Quantum Heron (r2) was first announced around July 2024, marking a significant milestone in IBM's hardware development. This announcement typically follows extensive internal testing and validation, signaling its readiness for broader deployment and integration into the IBM Quantum ecosystem. Concurrently, the processor became first available to users around July 2024, indicating a rapid transition from announcement to public accessibility. This swift deployment underscores IBM's strategy of making its latest hardware iterations available to the research and development community as quickly as possible, fostering rapid experimentation and feedback.

A key aspect of the Heron (r2) timeline involves its major revisions, specifically manufacturing improvements implemented in 2024. These improvements are not merely cosmetic; they represent fundamental advancements in the fabrication processes of superconducting qubits. Such enhancements are critical for achieving higher qubit counts, improving coherence times, and reducing error rates across the chip. The 'r2' designation itself is a direct consequence of these manufacturing refinements, indicating a more mature and optimized version of the Heron architecture. These iterative improvements are a hallmark of cutting-edge hardware development, where each generation benefits from lessons learned and technological breakthroughs in the manufacturing pipeline.

Looking ahead, the Heron (r2) processor is currently active and serves as a fundamental basis for scaling to 2026. This strategic positioning means that Heron (r2) is not an endpoint but a crucial stepping stone in IBM's long-term vision for quantum computing. It is expected to be a core component of the IBM Quantum System Two, a modular quantum computing architecture designed for unprecedented scalability. The insights gained from operating Heron (r2) at scale, particularly regarding its error characteristics, connectivity, and overall performance, will directly inform the design and optimization of future, larger quantum systems. This continuous roadmap emphasizes IBM's commitment to building increasingly powerful and reliable quantum computers, with Heron (r2) playing a vital role in validating the architectural choices and manufacturing techniques required for future generations. The processor's active status and its foundational role in the 2026 roadmap highlight its ongoing relevance and importance in the evolving quantum landscape.

What to verify next

  • Monitor for official announcements regarding Heron r3 or subsequent iterations.
  • Compare benchmark results (EPLG, CLOPS) of Heron r2 against any future Heron revisions.
  • Track the actual median error rates and fidelities reported on the IBM Quantum Platform for Heron r2 devices over time, especially for 2025 targets.
  • Investigate the impact of 'manufacturing improvements' on real-world application performance and error mitigation strategies.
  • Evaluate the stability and consistency of queue wait times as the user base grows.
  • Assess the practical implications of the 'unlimited shots per job (time-based)' model for various research and commercial applications.
  • Look for case studies or research papers demonstrating quantum advantage using Heron r2, particularly in simulation tasks.
  • Verify the integration and performance of Heron r2 within the broader IBM Quantum System Two architecture as it evolves.

FAQ

What is the primary difference between IBM Quantum Heron (r2) and Heron (r1)?

The IBM Quantum Heron (r2) is a revised version of the Heron processor, primarily distinguished by significant manufacturing improvements implemented in 2024. While it maintains a similar error profile to r1, r2 offers a higher qubit count (156 physical qubits) and is designed with enhanced error suppression capabilities. These improvements aim to provide a more stable and higher-performing platform, serving as a direct basis for IBM's scaling efforts towards 2026 and the modular System Two architecture.

How many qubits does IBM Quantum Heron (r2) have and what does 'physical qubits' mean?

IBM Quantum Heron (r2) features 156 physical qubits. 'Physical qubits' refers to the actual, tangible quantum bits implemented on the processor chip. These are the fundamental units that hold quantum information and on which gate operations are performed. This is in contrast to 'logical qubits,' which are theoretical constructs that would be encoded across multiple physical qubits to achieve error correction, a capability still under active research and development.

What are the key performance metrics for Heron (r2) and what do they signify?

Key performance metrics for Heron (r2) include two-qubit error rates (median 1.81e-3 to 2.75e-3), readout error (9.399e-3 to 1.031e-2), EPLG (Error Per Layer of Gates) at 3.7e-3, and CLOPS (Circuit Layer Operations Per Second) at 300K-340K, all targeted for 2025. Two-qubit and readout errors indicate the fidelity of operations and measurements. EPLG measures the average error per layer of gates, reflecting circuit depth capability. CLOPS measures the throughput of circuit layers per second, indicating execution speed. These metrics collectively define the processor's accuracy and efficiency.

How can I access the IBM Quantum Heron (r2) processor?

The IBM Quantum Heron (r2) processor is publicly accessible through the IBM Quantum Platform. Users can sign up for a free account, which typically includes a free tier of usage. Access is managed via the IBM Quantum Platform and Qiskit Runtime, with programming primarily done using the Qiskit SDK. The system is available in regions such as us-east and eu-west.

What is the pricing model for using IBM Quantum Heron (r2)?

IBM Quantum Heron (r2) operates on a pay-per-minute pricing model. For 2025, example rates are $96/minute for pay-as-you-go users and $48/minute for premium plan subscribers. Costs are driven by usage time and plan type, with a minimum billing increment of 1 second. A free tier offering 10 minutes per month is available for open plan users, and enterprise-level quotes can be obtained for larger organizational needs.

What is the significance of Heron (r2) for IBM's future quantum roadmap?

Heron (r2) is a critical component of IBM's quantum roadmap, serving as the basis for scaling to 2026 and beyond. Its design and performance insights directly inform the development of the modular IBM Quantum System Two architecture. By providing a high-qubit-count processor with improved error characteristics, Heron (r2) validates the manufacturing processes and architectural choices necessary for building larger, more complex, and ultimately fault-tolerant quantum systems in the future.

What kind of applications is Heron (r2) best suited for?

Heron (r2) is particularly well-suited for high-fidelity computations aimed at achieving quantum advantage in simulations. This includes applications in fields such as materials science, chemistry, and condensed matter physics, where the accurate modeling of quantum systems is crucial. Its balance of increased qubit count and improved error suppression makes it an ideal platform for exploring complex quantum phenomena and developing advanced quantum algorithms for these domains.



Also in Quantum Computing

Xanadu X8

Xanadu X12

Xanadu Borealis

Subscribe