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O Computador Quântico de Íons Aprisionados IBEX Q1 da AQT Já Está Disponível no Amazon Braket

O IBEX Q1 de íons aprisionados da AQT agora está acessível via Amazon Braket, oferecendo acesso global em nuvem a hardware quântico europeu hospedado na Áustria — sob demanda ou por reserva por hora — para pesquisa, indústria e educação.

#QCDeÍonsAprisionados #AmazonBraket #NuvemQuântica

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מחשב הקוונטום IBEX Q1 של AQT עם יוני מלכודת זמין כעת ב-Amazon Braket

מחשב הקוונטום IBEX Q1 של AQT עם יוני מלכודת נגיש כעת דרך Amazon Braket, ומציע גישת ענן עולמית לחומרת קוונטום אירופאית המתארחת באוסטריה — לפי דרישה או בהזמנה שעתית — למחקר, תעשייה וחינוך.

#מחשובקוונטוםיונימלכודת #AmazonBraket #ענןקוונטומי

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Máy Tính Lượng Tử Ion Bẫy IBEX Q1 của AQT Hiện Có Mặt Trên Amazon Braket

IBEX Q1 ion bẫy của AQT hiện có thể truy cập qua Amazon Braket, cung cấp khả năng truy cập đám mây toàn cầu tới phần cứng lượng tử châu Âu được đặt tại Áo — theo yêu cầu hoặc đặt trước theo giờ — phục vụ nghiên cứu, công nghiệp và giáo dục.

#MáyTínhLượngTửIonBẫy #AmazonBraket #ĐámMâyLượngTử

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คอมพิวเตอร์ควอนตัมไอออนกักเก็บ IBEX Q1 ของ AQT พร้อมให้บริการบน Amazon Braket แล้ว

IBEX Q1 แบบไอออนกักเก็บของ AQT สามารถเข้าถึงได้ผ่าน Amazon Braket โดยเปิดให้เข้าถึงฮาร์ดแวร์ควอนตัมของยุโรปที่ติดตั้งในออสเตรียผ่านระบบคลาวด์ทั่วโลก — แบบออนดีมานด์หรือจองรายชั่วโมง — สำหรับงานวิจัย ภาคอุตสาหกรรม และการศึกษา

#ควอนตัมไอออนกักเก็บ #AmazonBraket #คลาวด์ควอนตัม

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La computadora cuántica de iones atrapados IBEX Q1 de AQT ya está disponible en Amazon Braket

El IBEX Q1 de iones atrapados de AQT ahora es accesible a través de Amazon Braket, ofreciendo acceso global en la nube a hardware cuántico europeo alojado en Austria — bajo demanda o por reserva por horas — para investigación, industria y educación.

#QCDeIonesAtrapados #AmazonBraket #NubeCuántica

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AQT의 트랩 이온 양자 컴퓨터 IBEX Q1, 이제 Amazon Braket에서 이용 가능

AQT의 트랩 이온 방식 IBEX Q1이 이제 Amazon Braket을 통해 접근 가능하며, 오스트리아에 호스팅된 유럽 양자 하드웨어에 대한 글로벌 클라우드 접근을 제공합니다 — 온디맨드 또는 시간 단위 예약 방식으로 — 연구, 산업 및 교육 목적으로 활용 가능합니다.

#트랩이온양자컴퓨터 #AmazonBraket #양자클라우드

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AQTのトラップイオン型量子コンピューター「IBEX Q1」がAmazon Braketで利用可能に

AQTのトラップイオン型IBEX Q1が、Amazon Braket経由でアクセス可能になりました。オーストリアにホストされた欧州の量子ハードウェアに、研究・産業・教育向けにオンデマンドまたは時間単位の予約でグローバルなクラウドアクセスを提供します。

#トラップイオン量子コンピューター #AmazonBraket #量子クラウド

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AQT 的捕獲離子量子電腦 IBEX Q1 現已登陸 Amazon Braket

AQT 的捕獲離子量子電腦 IBEX Q1 現可透過 Amazon Braket 存取,提供全球雲端使用歐洲量子硬體的管道,硬體托管於奧地利,支援隨需使用或按小時預約,適用於研究、產業及教育用途。

#捕獲離子量子電腦 #AmazonBraket #量子雲端

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AQT's Trapped-Ion Quantum Computer IBEX Q1 Now Available on Amazon Braket

AQT's trapped-ion IBEX Q1 is now accessible via Amazon Braket, offering global cloud access to European quantum hardware hosted in Austria — on-demand or by hourly reservation — for research, industry, and education.

#TrappedIonQC #AmazonBraket #QuantumCloud

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Adaptive Shot Allocation for Variational Quantum Algorithms on Amazon Braket

Amazon Braket now supports adaptive shot allocation, dynamically distributing quantum circuit measurements across observables in VQE to minimize estimation error within a fixed shot budget on noisy NISQ hardware.

#QuantumComputing #AmazonBraket #News

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Creation of Jupyter Notebook Instance Using Amazon Braket “ I have checked the documents of AWS for the creation of jupyter notebook instance using amazon...

✍️ New blog post by GargeeBhatnagar

Creation of Jupyter Notebook Instance Using Amazon Braket

#amazonbraket #iamrole #jupyternotebook #sagemaker

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Amazon Braket now supports Qiskit 2.0 Amazon Braket now supports Qiskit 2.0, enabling quantum developers to use the latest version of the most popular quantum software framework with native primitives and client-side compilation capabilities. With this release, Braket provides native implementations of Qiskit's Sampler and Estimator primitives that leverage Braket's program sets for optimized batching, reducing execution time and costs compared to generic wrapper approaches. The native primitives handle parameter sweeps and observable measurements service-side, eliminating the need for customers to implement this logic manually. Additionally, the bidirectional circuit conversion capability enables customers to use Qiskit's extensive compilation framework for client-side transpilation before submitting to Braket devices, providing the control and reproducibility that enterprise users and researchers require for device characterization experiments and custom compilation passes. Qiskit 2.0 support is available in all AWS Regions where Amazon Braket is available. To get started, see the https://qiskit-community.github.io/qiskit-braket-provider/ and the Amazon Braket https://docs.aws.amazon.com/braket/latest/developerguide/what-is-braket.html.

Amazon Braket now supports Qiskit 2.0

Amazon Braket now supports Qiskit 2.0, enabling quantum developers to use the latest version of the most popular quantum software framework with native primitives and client-side compilation capabilities.

With this release, Braket ...

#AWS #AmazonBraket

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Amazon Braket now supports Qiskit 2.0 Amazon Braket now supports Qiskit 2.0, enabling quantum developers to use the latest version of the most popular quantum software framework with native primitives and client-side compilation capabilities. With this release, Braket provides native implementations of Qiskit's Sampler and Estimator primitives that leverage Braket's program sets for optimized batching, reducing execution time and costs compared to generic wrapper approaches. The native primitives handle parameter sweeps and observable measurements service-side, eliminating the need for customers to implement this logic manually. Additionally, the bidirectional circuit conversion capability enables customers to use Qiskit's extensive compilation framework for client-side transpilation before submitting to Braket devices, providing the control and reproducibility that enterprise users and researchers require for device characterization experiments and custom compilation passes. Qiskit 2.0 support is available in all AWS Regions where Amazon Braket is available. To get started, see the Qiskit-Braket provider documentation and the Amazon Braket Developer Guide.

🆕 Amazon Braket now supports Qiskit 2.0, enabling quantum developers to use the latest quantum framework with native primitives, optimized batching, and bidirectional circuit conversion for enhanced control and reproducibility. Available in all AWS regions.

#AWS #AmazonBraket

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Amazon Braket introduces spending limits feature for quantum processing units Amazon Braket now supports spending limits, enabling customers to set spending caps on quantum processing units (QPUs) to manage costs. With spending limits, customers can define maximum spending thresholds on a per-device basis, and Amazon Braket automatically validates each task submission doesn't exceed the pre-configured limits. Tasks that would exceed remaining budgets are rejected before creation. For comprehensive cost management across all of Amazon Web Services, customers should continue to use the AWS Budgets feature as part of https://docs.aws.amazon.com/cost-management/latest/userguide/what-is-costmanagement.html. Spending limits are particularly valuable for research institutions managing quantum computing budgets across multiple users, for educational environments preventing accidental overspending during coursework, and for development teams experimenting with quantum algorithms. Customers can update or delete spending limits at any time as their requirements change. Spending limits apply only to on-demand tasks on quantum processing units and do not include costs for simulators, notebook instances, hybrid jobs, or tasks created during Braket Direct reservations. Spending limits are available now in all AWS Regions where Amazon Braket is supported at no additional cost. Researchers at accredited institutions can apply for credits to support experiments on Amazon Braket through the https://aws.amazon.com/government-education/research-and-technical-computing/cloud-credit-for-research/. To get started, visit the Spending limits page in the https://us-east-1.console.aws.amazon.com/braket/home?region=us-east-1#/spending-limits and read our https://aws.amazon.com/blogs/quantum-computing/amazon-braket-introduces-spending-limits-for-quantum-processing-units/.

Amazon Braket introduces spending limits feature for quantum processing units

Amazon Braket now supports spending limits, enabling customers to set spending caps on quantum processing units (QPUs) to manage costs. With spending limits, customers can define maximum spending ...

#AWS #AmazonBraket

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Amazon Braket introduces spending limits feature for quantum processing units Amazon Braket now supports spending limits, enabling customers to set spending caps on quantum processing units (QPUs) to manage costs. With spending limits, customers can define maximum spending thresholds on a per-device basis, and Amazon Braket automatically validates each task submission doesn't exceed the pre-configured limits. Tasks that would exceed remaining budgets are rejected before creation. For comprehensive cost management across all of Amazon Web Services, customers should continue to use the AWS Budgets feature as part of AWS Cost Management. Spending limits are particularly valuable for research institutions managing quantum computing budgets across multiple users, for educational environments preventing accidental overspending during coursework, and for development teams experimenting with quantum algorithms. Customers can update or delete spending limits at any time as their requirements change. Spending limits apply only to on-demand tasks on quantum processing units and do not include costs for simulators, notebook instances, hybrid jobs, or tasks created during Braket Direct reservations. Spending limits are available now in all AWS Regions where Amazon Braket is supported at no additional cost. Researchers at accredited institutions can apply for credits to support experiments on Amazon Braket through the AWS Cloud Credits for Research program. To get started, visit the Spending limits page in the Amazon Braket console and read our launch blog post.

🆕 Amazon Braket sets QPU spending limits to manage costs, enabling users to cap per-device expenses. It automatically checks task submissions, rejecting over-budget ones. Available in all AWS regions free of charge, ideal for research, education, and development. Use AWS Budget…

#AWS #AmazonBraket

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Amazon Braket notebook instances now support CUDA-Q natively Amazon Braket notebook instances now come with native support for CUDA-Q, streamlining access to NVIDIA's quantum computing platform for hybrid quantum-classical applications. This enhancement is enabled by upgrading the underlying operating system to Amazon Linux 2023, which delivers improved performance, security, and compatibility for quantum development workflows. Quantum researchers and developers can now seamlessly build and test hybrid quantum-classical algorithms using CUDA-Q's GPU-accelerated quantum circuit simulation alongside access to quantum processing units (QPUs) from IonQ, Rigetti, and IQM, all within a single managed environment. With this release, developers can now access CUDA-Q directly within the managed notebook environment, simplifying workflows that previously required local deployment or needed to be run via Hybrid Jobs. CUDA-Q support in Amazon Braket notebook instances is available in all AWS Regions where Amazon Braket is available. To get started, see the Amazon Braket https://docs.aws.amazon.com/braket/latest/developerguide/braket-using-cuda-q.html and visit the Amazon Braket https://aws.amazon.com/braket/ to learn more about quantum computing on AWS.

Amazon Braket notebook instances now support CUDA-Q natively

Amazon Braket notebook instances now come with native support for CUDA-Q, streamlining access to NVIDIA's quantum computing platform for hybrid quantum-classical applications. This enhancement is enabled by upgrad...

#AWS #AmazonBraket

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Amazon Braket notebook instances now support CUDA-Q natively Amazon Braket notebook instances now come with native support for CUDA-Q, streamlining access to NVIDIA's quantum computing platform for hybrid quantum-classical applications. This enhancement is enabled by upgrading the underlying operating system to Amazon Linux 2023, which delivers improved performance, security, and compatibility for quantum development workflows. Quantum researchers and developers can now seamlessly build and test hybrid quantum-classical algorithms using CUDA-Q's GPU-accelerated quantum circuit simulation alongside access to quantum processing units (QPUs) from IonQ, Rigetti, and IQM, all within a single managed environment. With this release, developers can now access CUDA-Q directly within the managed notebook environment, simplifying workflows that previously required local deployment or needed to be run via Hybrid Jobs. CUDA-Q support in Amazon Braket notebook instances is available in all AWS Regions where Amazon Braket is available. To get started, see the Amazon Braket Developer Guide and visit the Amazon Braket product page to learn more about quantum computing on AWS.

🆕 Amazon Braket now supports CUDA-Q natively in notebook instances, enabling GPU-accelerated quantum circuit simulations and access to quantum processors from IonQ, Rigetti, and IQM, all within a managed environment, simplifying hybrid quantum-classical workflows.

#AWS #AmazonBraket

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Ever wondered how quantum measurement could revolutionize technology? Discover the math behind it with Amazon Braket and explore applications shaping quantum computing's future. #QuantumComputing #AmazonBraket #Innovation LINK

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Amazon Braket introduces local device emulator for verbatim circuits Today, Amazon Braket introduced a local device emulator that enables developers to test verbatim circuits with device-specific characteristics before running on quantum hardware. This feature accelerates development by providing early feedback on circuit compatibility and expected behavior under realistic noise conditions, helping customers validate their quantum programs and develop noise-aware algorithms without incurring hardware costs. The local device emulator offers several key capabilities: Validates circuit compatibility with target quantum devices, including qubit connectivity, native gate sets, and device topology constraints Simulates quantum circuits with depolarizing channels applied to one-qubit and two-qubit gates based on device calibration data Provides realistic predictions of program behavior on noisy hardware using local density matrix simulation Supports both real-time and historical calibration data for device emulation Braket users can instantiate device emulators directly from AWS quantum devices or from custom device properties using the Amazon Braket SDK. The emulator seamlessly integrates with existing workflows, allowing developers to catch compatibility issues early and efficiently iterate on their quantum algorithms before running them on actual quantum hardware. For more information, visit https://docs.aws.amazon.com/braket/latest/developerguide/braket-local-emulator.html, read the https://aws.amazon.com/blogs/quantum-computing/introducing-local-device-emulator-for-verbatim-circuits-on-amazon-braket/, and explore our https://github.com/amazon-braket/amazon-braket-examples/blob/main/examples/braket_features/Device_emulation/01_Local_Emulation_for_Verbatim_Circuits_on_Amazon_Braket.ipynb demonstrating the local device emulator.

Amazon Braket introduces local device emulator for verbatim circuits

Today, Amazon Braket introduced a local device emulator that enables developers to test verbatim circuits with device-specific characteristics before running on quantum hardware. This feature accelerates d...

#AWS #AmazonBraket

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Amazon Braket introduces local device emulator for verbatim circuits Today, Amazon Braket introduced a local device emulator that enables developers to test verbatim circuits with device-specific characteristics before running on quantum hardware. This feature accelerates development by providing early feedback on circuit compatibility and expected behavior under realistic noise conditions, helping customers validate their quantum programs and develop noise-aware algorithms without incurring hardware costs. The local device emulator offers several key capabilities: Validates circuit compatibility with target quantum devices, including qubit connectivity, native gate sets, and device topology constraints Simulates quantum circuits with depolarizing channels applied to one-qubit and two-qubit gates based on device calibration data Provides realistic predictions of program behavior on noisy hardware using local density matrix simulation Supports both real-time and historical calibration data for device emulation Braket users can instantiate device emulators directly from AWS quantum devices or from custom device properties using the Amazon Braket SDK. The emulator seamlessly integrates with existing workflows, allowing developers to catch compatibility issues early and efficiently iterate on their quantum algorithms before running them on actual quantum hardware. For more information, visit the Amazon Braket developer guide, read the launch blog post, and explore our example notebook demonstrating the local device emulator.

🆕 Amazon Braket now offers a local device emulator for testing verbatim quantum circuits, speeding up development by validating compatibility and behavior on noisy hardware before running on quantum hardware, all without incurring costs.

#AWS #AmazonBraket

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🚀 Amazon Braket's new program is set to revolutionize quantum computing by integrating multiple circuits, boosting algorithm speed up to 24x. How do you think this will shape the future of tech? 🤔 #QuantumComputing #AmazonBraket #TechInnovation LINK

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Amazon Braket launches new 54-qubit superconducting quantum processor from IQM | Amazon Web Services Amazon Braket enables customers to design and run quantum algorithms on a broad selection of quantum hardware through a unified interface. Today, we expand the hardware available on Braket with the ge...

Welcome to #AmazonBraket, IQM Emerald! 54 qubits, 99.5% 2Q fidelity, dynamic circuits. Super excited to see this live! aws.amazon.com/blogs/quantu...

⚛️🧪 #QuantumComputing

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Amazon Braket adds IQM’s 54-qubit quantum processor to cloud service Investing.com -- Amazon (NASDAQ:AMZN) Braket has expanded its quantum computing hardware offerings with the general availability of IQM’s new 54-qubit superconducting quantum processing unit (QPU) called Emerald. The new processor joins IQM’s 20-qubit Garnet device on the Amazon Braket platform, with both quantum processors accessible through the Europe (Stockholm) Region. This addition gives customers more options for selecting appropriate quantum hardware for their specific research and algorithm requirements. Emerald features IQM’s Crystal 54 architecture using superconducting transmon qubits arranged in a square lattice with tunable couplers connecting them. This high-connectivity design enables efficient algorithm mapping and natively supports surface-code error correction for future fault-tolerant quantum computing. Early performance data shows the processor achieving 99.93% median single-qubit gate fidelity and 99.5% median two-qubit gate fidelity. The device supports arbitrary X and Y rotations as native single-qubit gates and uses the CZ gate as its native two-qubit operation. Both IQM quantum processors are available 19 hours daily, allowing customers worldwide to run quantum workloads regardless of time zone. The EU-based QPUs help customers meet European data residency requirements while working with hybrid quantum-classical computing capabilities. Amazon Braket provides a unified programming interface for accessing quantum hardware, allowing customers to build and run quantum programs using the Braket SDK or other frameworks like Qiskit, Pennylane, and NVIDIA (NASDAQ:NVDA) CUDA-Q. Emerald’s 54-qubit capacity enables exploration of quantum algorithms requiring substantial qubit resources, including larger entangled states and more complex quantum circuits. The processor also supports Amazon Braket’s experimental dynamic circuits capability, which allows mid-circuit qubit measurements and conditional operations. Following the announcement, shares of Quantum Computing Inc (NASDAQ:QUBT) fell 5.5% and D Wave Quantum Inc (NYSE:QBTS) pared gains to 2.3%, and Amazon stock gained 1%. This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

Click Subscribe #AmazonBraket #QuantumComputing #IQM #CloudService #QuantumProcessor

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Amazon Braket adds dynamic circuit capabilities on IQM Garnet Today, Amazon Braket introduced experimental support for dynamic circuits on IQM's Garnet quantum processing unit (QPU). This capability enables mid-circuit measurements (MCM) and feed-forward operations, allowing quantum researchers and developers to implement more advanced quantum algorithms. Dynamic circuits are a key building block for quantum error mitigation and correction. They can improve resource efficiency via qubit reuse, as well as enable experimentation with algorithms and protocols that require conditional logic. With dynamic circuits, customers can now perform active qubit reset to reuse qubits within a single circuit execution and apply conditional operations based on measurement outcomes. These techniques can reduce circuit depth requirements unlocking new capabilities on Amazon Braket. To use dynamic circuits, customers can submit verbatim programs that include mid-circuit measurement and conditional rotation instructions. These programs can be written using using OpenQASM, the Amazon Braket SDK, or the Amazon Braket Qiskit Provider. This experimental capability is available to all customers using an IQM device in the Europe (Stockholm) Region without requiring any special access permissions. For more information, visit our Experimental Capabilities https://docs.aws.amazon.com/braket/latest/developerguide/braket-experimental-capabilities.html and read our https://aws.amazon.com/blogs/quantum-computing/experiment-with-dynamic-circuits-on-iqm-garnet-with-amazon-braket/.  

Amazon Braket adds dynamic circuit capabilities on IQM Garnet

Today, Amazon Braket introduced experimental support for dynamic circuits on IQM's Garnet quantum processing unit (QPU). This capability enables mid-circuit measurements (MCM) and feed-forward operations, allowin...

#AWS #AmazonBraket

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Amazon Braket adds dynamic circuit capabilities on IQM Garnet Today, Amazon Braket introduced experimental support for dynamic circuits on IQM's Garnet quantum processing unit (QPU). This capability enables mid-circuit measurements (MCM) and feed-forward operations, allowing quantum researchers and developers to implement more advanced quantum algorithms. Dynamic circuits are a key building block for quantum error mitigation and correction. They can improve resource efficiency via qubit reuse, as well as enable experimentation with algorithms and protocols that require conditional logic. With dynamic circuits, customers can now perform active qubit reset to reuse qubits within a single circuit execution and apply conditional operations based on measurement outcomes. These techniques can reduce circuit depth requirements unlocking new capabilities on Amazon Braket. To use dynamic circuits, customers can submit verbatim programs that include mid-circuit measurement and conditional rotation instructions. These programs can be written using using OpenQASM, the Amazon Braket SDK, or the Amazon Braket Qiskit Provider. This experimental capability is available to all customers using an IQM device in the Europe (Stockholm) Region without requiring any special access permissions. For more information, visit our Experimental Capabilities documentation page and read our launch blog post.

🆕 Amazon Braket supports dynamic circuits on IQM Garnet QPU, allowing mid-circuit measurements and conditional ops for advanced quantum algorithms, boosting efficiency and new capabilities. Available in Europe (Stockholm) without special permissions.

#AWS #AmazonBraket

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Amazon Braket unveils dynamic circuits on the IQM Garnet QPU, optimizing algorithm performance with mid-circuit measurements and feed-forward control. How will this impact quantum algorithms' future? #QuantumComputing #AmazonBraket #Innovation LINK

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IonQ, NVIDIA, and AWS Cut Drug Chemistry Time from Months to Days

#IONQ #NVDA #AMZN #IONQStock #IONQNews #IONQStockNews #NVDAStock #NVDANews #NVDAStockNews #AMZNStock #AMZNNews #AMZNStockNews #IonQForte #NvidiaCudaQ #AmazonBraket #SuzukiMiyauraReaction #QuantumComputing ##QuantumComputingDrugDisco

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Fundamental Physics Simulations with Amazon Braket | Amazon Web Services Quantum computing holds the key to unlocking new frontiers in physics simulation. Our latest blog post demonstrates how to use Amazon Braket to simulate a model relevant to quantum chromodynamics, the...

Explore the power of quantum computing in simulating fundamental physics! Our latest blog post demonstrates how to use Amazon Braket to find the ground state energy for a model relevant to quantum chromodynamics. #QuantumComputing #AmazonBraket #PhysicsSimulation aws.amazon.com/blogs/quantu...

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IonQ Forte Enterprise now available on Amazon Braket Amazon Braket, the quantum computing service from AWS, now offers IonQ's latest 36-qubit Forte Enterprise quantum processing unit (QPU) in the US East (N. Virginia) Region. This new device joins IonQ's existing quantum hardware portfolio on Braket, which includes Forte-1, Aria-1, and Aria-2, providing customers with additional capacity to run their quantum workloads on ion-trapped devices. With this launch, customers can use the familiar Braket SDK and APIs to access Forte Enterprise, which maintains the same capabilities that customers value in Forte-1. The device features IonQ's debiasing and sharpening error mitigation algorithms to enable advanced customers workloads. Forte Enterprise continues to use the native ZZ gate architecture, making it easy for customers to seamlessly migrate workloads between the Forte devices. IonQ Forte Enterprise is physically located in Switzerland, but all customer traffic routes through US East (N. Virginia) region. Customers can access this new device using the ARN: arn:aws:braket:us-east-1::device/qpu/ionq/Forte-Enterprise-1. To get started with IonQ Forte Enterprise, visit the https://us-west-2.console.aws.amazon.com/braket/home?region=us-west-2#/devices/arn:aws:braket:us-east-1::device/qpu/ionq/Forte-Enterprise-1 in the AWS Management Console to explore device specifications and capabilities. For additional guidance, review the https://docs.aws.amazon.com/braket/latest/developerguide/what-is-braket.html and https://aws.amazon.com/braket/pricing/ to make the most of this new device.

IonQ Forte Enterprise now available on Amazon Braket

Amazon Braket, the quantum computing service from AWS, now offers IonQ's latest 36-qubit Forte Enterprise quantum processing unit (QPU) in the US East (N. Virginia) Region. This new device joins IonQ's existing quantum ha...

#AWS #AmazonBraket

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IonQ Forte Enterprise now available on Amazon Braket Amazon Braket, the quantum computing service from AWS, now offers IonQ's latest 36-qubit Forte Enterprise quantum processing unit (QPU) in the US East (N. Virginia) Region. This new device joins IonQ's existing quantum hardware portfolio on Braket, which includes Forte-1, Aria-1, and Aria-2, providing customers with additional capacity to run their quantum workloads on ion-trapped devices. With this launch, customers can use the familiar Braket SDK and APIs to access Forte Enterprise, which maintains the same capabilities that customers value in Forte-1. The device features IonQ's debiasing and sharpening error mitigation algorithms to enable advanced customers workloads. Forte Enterprise continues to use the native ZZ gate architecture, making it easy for customers to seamlessly migrate workloads between the Forte devices. IonQ Forte Enterprise is physically located in Switzerland, but all customer traffic routes through US East (N. Virginia) region. Customers can access this new device using the ARN: arn:aws:braket:us-east-1::device/qpu/ionq/Forte-Enterprise-1. To get started with IonQ Forte Enterprise, visit the Amazon Braket devices page in the AWS Management Console to explore device specifications and capabilities. For additional guidance, review the Amazon Braket documentation and pricing information to make the most of this new device.

🆕 Amazon Braket now offers IonQ's 36-qubit Forte Enterprise QPU in US East (N. Virginia). Customers can access it via Braket SDK, featuring error mitigation and native ZZ gate architecture. Device ARN: arn:aws:braket:us-east-1::device/qpu/ionq/Forte-Enterprise-1.

#AWS #AmazonBraket

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