IBM Recommends New Cloud-Based Notebook Environments for Qiskit

IBM
has
announced
new
recommendations
for
cloud-based
notebook
environments
for
Qiskit
users.
The
company
has
endorsed
OVHcloud
and
qBraid
as
preferred
providers
for
those
looking
to
work
with
Qiskit
over
the
cloud,
according
to

IBM
Quantum
Computing
Blog.

New
Recommendations
Align
with
IBM’s
Strategic
Shifts

The
announcement
comes
in
the
wake
of
IBM’s
recent
retirement
of
the
IBM
Quantum
Lab,
signaling
a
broader
strategic
shift
towards
utility-scale
quantum
computation.
This
move
aims
to
support
the
continuous
growth
of
the
Qiskit
ecosystem
by
providing
users
with
convenient,
cloud-based
Jupyter
environments
pre-installed
with
Qiskit.

Getting
Started
with
OVHcloud

Users
of
OVHcloud
Public
Cloud
and
OVHcloud
Startup
can
now
utilize
OVHcloud
quantum
notebooks
to
access
Qiskit
and
submit
jobs
to
IBM
Quantum
hardware.
Below
are
the
steps
to
get
started:

Setting
Up
OVHcloud
AI
Notebooks:

• Visit
  the
  
  OVHcloud
  landing
  page
  and
  create
  a
  free
  account.
• Log
  in,
  navigate
  to
  the
  Public
  Cloud
  page,
  and
  click
  on “Create
  an
  AI
  Notebook”.
• Click
  on “+
  Create
  a
  notebook”,
  select
  JupyterLab,
  choose
  Qiskit,
  set
  privacy
  settings,
  and
  select
  a
  datacenter
  location.

Getting
Started
with
qBraid
Lab

qBraid,
a
cloud-based
platform
for
quantum
software
development,
has
also
been
recommended
by
IBM.
Users
of
Qiskit
SDK
v1.0
and
the
recently
released
v1.1
can
transition
their
work
to
qBraid’s
pre-configured
Python
environments.
Here
are
the
steps
to
get
started:

Setting
Up
qBraid
Lab:

• Visit
  the
  
  qBraid
  Lab
  landing
  page
  and
  create
  a
  free
  account.
• Log
  in,
  navigate
  to
  the
  Lab
  page,
  and
  click “Start
  Machine”
  in
  the
  free
  tier.

Other
Notebook
Environments
for
Qiskit
Users

In
addition
to
OVHcloud
and
qBraid,
Qiskit
can
also
be
installed
in
other
popular
notebook
environments
such
as
IBM
Watson
Studio,
Google
Colab,
and
Microsoft
Azure
Machine
Learning
Studio.
Below
are
the
general
steps
for
these
platforms:

IBM
Watson
Studio:

• Visit
  the
  
  Watson
  Studio
  landing
  page
  and
  create
  an
  IBM
  Cloud
  account.
• Start
  a
  new
  project,
  open
  a
  new
  notebook,
  and
  run
  
pip
install
qiskit.

Google
Colab:

Microsoft
Azure
Machine
Learning
Studio:

• Visit
  the
  
  Azure
  landing
  page
  and
  create
  a
  free
  trial
  account.
• Create
  a
  new
  workspace,
  open
  a
  new
  notebook,
  and
  run
  
pip
install
qiskit.

These
steps
provide
a
comprehensive
guide
to
getting
started
with
Qiskit
in
various
cloud-based
notebook
environments,
ensuring
users
have
the
flexibility
to
choose
the
platform
that
best
meets
their
needs.

Image
source:
Shutterstock

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