rryoung98

@just @kkoci

Would you mind double checking the region you are trying for the IBM access? I don't have much visibility, but I do recall that you messaged IBM about this question, so hopefully they respond.

Hello all, as you begin to finalize your projects, do let us know if you need qBraid credits. A new device will be made available as it has come out of maintenance. The IonQ Aria-1 is available directly (currently calibrating) and we will provide access to participants starting tomorrow. For those who have access to IBM, please let us know if you have any additional questions.

It's taking them a little while to get everything setup, please be patient.

Hello Skylar It should be back up. You do not need an IonQ API key to run the IonQ devices with qBraid it will be deducted from your qbraid account. We have several access options:

from qbraid import QbraidProvider
provider = QbraidProvider(api_key="YOUR_API_KEY")
provider.save_config()
devices = provider.get_devices()
print(f"{'Device ID':<15} {'Status':<10}")
print("-" * 25)
for device in devices:
    print(f"{device.id:<15} {device.status().name:<10}")
device = provider.get_device("aws_ionq_harmony")

Yes, would you mind emailing me at rickyyoung at qbraid dot com?

Hello all, this is just a check in message. Some teams have been provided access to IBM devices. Given that it is a brand new process for them, they would like everyone to submit their forms and provide access in a batch. Please make sure to submit the form. If you still need access, please respond to this message so we can get an estimate of how many teams are left. Also, for those using qBraid devices, how is it going? Have you been able to run jobs on the devices? Please comment on any troubleshooting or bugs with the qBraid SDK so we can make sure you get the results you need!

Hello @avarga, It appears you changed the name of your team, we can now confirm that you are accepted into phase 3. Please expect updates shortly sent to your email on file.

Hello @otailor, you absolutely can use GPUs on qBraid and I would make sure that you are using 20+ or more qubits to make sure you are getting the performance benefits of a GPU. In addition you should be able to use the Pennylane GPU environment to run your simulations and avoid the pesky cuda / pennylane installs. https://www.qbraid.com/blog-posts/qbraid-lab-pennylane-lightning-gpu

Hello all, we have been working closely with IBM to try and get access to everyone. They aim to provide access by the end of the week and **must **have an accurate count of the # of teams so please make sure that you have someone from your team fill out the form. If you are still having issues with qBraid, please let us know. So far it seems like most users have been able to start submitting jobs to the QIR simulator etc.